diff --git a/zh-cn/assets/index-4d1333f2.js b/zh-cn/assets/index-16f06676.js similarity index 98% rename from zh-cn/assets/index-4d1333f2.js rename to zh-cn/assets/index-16f06676.js index 5b12e33..cfdab04 100644 --- a/zh-cn/assets/index-4d1333f2.js +++ b/zh-cn/assets/index-16f06676.js @@ -1,4 +1,4 @@ -const o="/zh-cn/assets/image1-fe10a0d4.jpg",t="/zh-cn/assets/image2-86112638.jpg",n=[o,t],r={label:"倒计时6天 | 机遇与挑战-生成式AI的发展趋势和落地应用",description:"生成式AI作为人工智能的重要分支，在语言模型、图像生成、音乐创作等领域都取得了突破性地进展。技术的发展，也伴随着机遇、挑战与难题。本周日（8月6日）在北京，将由亚马逊云科技和真格基金主办，达坦科技和INP协办举行一场关于生成式AI的闭门沙龙，主题为“机遇与挑战——生成式AI的发展趋势和落地应用”。",location:"新疆",date:"2023-08-01",title:"Countdown to 6 days l Opportunities and Challenges The Development Trend of Generative AI and its Application on the Ground"},s=[],e=`

生成式 AI 作为人工智能的重要分支，在语言模型、图像生成、音乐创作等领域都取得了突破性地进展。技术的发展，也伴随着机遇、挑战与难题。本周日（8 月 6 日）在北京，将由亚马逊云科技和真格基金主办，达坦科技和 INP 协办举行一场关于生成式 AI 的闭门沙龙，主题为“机遇与挑战——生成式 AI 的发展趋势和落地应用”。

+const o="/zh-cn/assets/image1-fe10a0d4.jpg",t="/zh-cn/assets/image2-86112638.jpg",n=[o,t],r={label:"倒计时6天 | 机遇与挑战-生成式AI的发展趋势和落地应用",description:"生成式AI作为人工智能的重要分支，在语言模型、图像生成、音乐创作等领域都取得了突破性地进展。技术的发展，也伴随着机遇、挑战与难题。本周日（8月6日）在北京，将由亚马逊云科技和真格基金主办，达坦科技和INP协办举行一场关于生成式AI的闭门沙龙，主题为“机遇与挑战——生成式AI的发展趋势和落地应用”。",location:"新疆",date:"2023-08-01",title:"Countdown to 6 days l Opportunities and Challenges The Development Trend of Generative AI and its Application on the Ground"},e=[],s=`

生成式 AI 作为人工智能的重要分支，在语言模型、图像生成、音乐创作等领域都取得了突破性地进展。技术的发展，也伴随着机遇、挑战与难题。本周日（8 月 6 日）在北京，将由亚马逊云科技和真格基金主办，达坦科技和 INP 协办举行一场关于生成式 AI 的闭门沙龙，主题为“机遇与挑战——生成式 AI 的发展趋势和落地应用”。

我们邀请了国内外知名的 AI Infra/应用创业者、硬核 NLP/LLM 专家、咨询大咖，分享在生成式 AI 研究和实践中的经验，通过具体的案例，探讨生成式 AI 在不同领域的落地应用和挑战，揭示其对产业升级和创新的重要作用。

图片

本次闭门沙龙邀请到的 AI Infra/应用创业者、硬核 NLP/LLM 专家、咨询大咖有（以下介绍按照姓氏字母排序）：

@@ -50,4 +50,4 @@ At Stochastic, he focus on developing Enterprise-ready LLM system that trains lo 通用工具与行业客户需求不匹配怎么办？
是否要出海？中美两地的生态差异？
AI PaaS+SaaS 工具选择最佳实践+避坑指南。
-以及其他你在报名表中提交的想要讨论的话题......

`;export{n as assetURLs,e as default,r as metadata,s as toc}; +以及其他你在报名表中提交的想要讨论的话题......

`;export{n as assetURLs,s as default,r as metadata,e as toc}; diff --git a/zh-cn/assets/index-a5739659.js b/zh-cn/assets/index-213034fe.js similarity index 95% rename from zh-cn/assets/index-a5739659.js rename to zh-cn/assets/index-213034fe.js index c748876..e37ecd3 100644 --- a/zh-cn/assets/index-a5739659.js +++ b/zh-cn/assets/index-213034fe.js @@ -1,4 +1,4 @@ -const n="/zh-cn/assets/cover-99998007.jpg",e="/zh-cn/assets/image1-6f9cec09.jpg",t=[n,e],s={label:"精彩回顾｜硬件敏捷开发与验证方法学研讨",description:"8月27日，作为2022年第二届RISC-V中国峰会的同期活动，达坦科技成功举办硬件敏捷开发与验证方法学研讨。虽然是线上分享活动，但大家热情依旧，会后在“硬件敏捷开发和验证方法学讨论群”中积极互动提问。长达四小时的就新一代HDL在数字芯片设计方面的实践经验分享，究竟碰撞出了什么新的火花呢？下面我们一起来回顾研讨会的精彩内容。",cover:"./cover.jpg",location:"中国香港",date:"2022-09-08",title:"Discussion on Hardware Agile Development and Verification Methodology"},o=[{label:"芯片敏捷设计与验证之路",level:2},{label:"香山处理器敏捷开发与验证实践",level:2},{label:"通过 Chainsaw 实现硬件算子敏捷开发",level:2},{label:"Scala 在 IC 开发中的应用",level:2},{label:"NaxRiscv CPU: Introduction and Extension Demonstration",level:2},{label:"结束语",level:2}],a=`

封面

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封面

8 月 27 日，作为 2022 年第二届 RISC-V 中国峰会的同期活动，达坦科技成功举办硬件敏捷开发与验证方法学研讨。虽然是线上分享活动，但大家热情依旧，会后在“硬件敏捷开发和验证方法学讨论群”中积极互动提问。长达四小时的就新一代 HDL 在数字芯片设计方面的实践经验分享，究竟碰撞出了什么新的火花呢？下面我们一起来回顾研讨会的精彩内容。

芯片敏捷设计与验证之路

华南理工大学计算机科学与工程学院赖晓铮副教授首先分享了 “让硬件设计像软件设计一样简单”的愿景，即开发人员编写的代码只占工作量的 10%，剩下 90%由开源芯片生态系统提供。

@@ -23,4 +23,4 @@ const n="/zh-cn/assets/cover-99998007.jpg",e="/zh-cn/assets/image1-6f9cec09.jpg"

请点击如下链接：
https://t.elecfans.com/live/2113.html收看本次研讨会的回放。
也欢迎添加小助手微信，加入“硬件敏捷开发和验证方法学讨论群”，进行延伸讨论与互动，并第一时间获得后续相关活动的讯息。

-

图片

`;export{t as assetURLs,a as default,s as metadata,o as toc}; +

图片

`;export{e as assetURLs,o as default,t as metadata,a as toc}; diff --git a/zh-cn/assets/index-71801d47.js b/zh-cn/assets/index-22d5e656.js similarity index 96% rename from zh-cn/assets/index-71801d47.js rename to zh-cn/assets/index-22d5e656.js index 1fe4386..99f8163 100644 --- a/zh-cn/assets/index-71801d47.js +++ b/zh-cn/assets/index-22d5e656.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-cf0f8eeb.png",o="/zh-cn/assets/image1-6485c4dd.jpg",s=[t,o],e={label:"活动预告 | 第二届硬件敏捷开发与验证方法学研讨会",description:"2023年8月23日至25日， 2023 RISC-V中国峰会将在北京香格里拉饭店举办。本届峰会采用“主会议+主题活动+展览展示+同期活动”的会议组织方式，将邀请RISC-V国际基金会、业界专家、企业代表及社区伙伴等共同探讨RISC-V发展趋势与机遇。作为本届RISC-V中国峰会的同期活动，8月25日下午，达坦科技将在线上举办第二届硬件敏捷开发与验证方法学研讨会。",cover:"./cover.png",location:"新加坡",date:"2023-08-20",title:"Upcoming Events l 2nd Hardware Agile Development and Verification Methodology Workshop"},n=[{label:"2023 RISC-V中国峰会",level:2},{label:"活动信息",level:2}],r=`

图片

+const t="/zh-cn/assets/cover-cf0f8eeb.png",o="/zh-cn/assets/image1-6485c4dd.jpg",e=[t,o],s={label:"活动预告 | 第二届硬件敏捷开发与验证方法学研讨会",description:"2023年8月23日至25日， 2023 RISC-V中国峰会将在北京香格里拉饭店举办。本届峰会采用“主会议+主题活动+展览展示+同期活动”的会议组织方式，将邀请RISC-V国际基金会、业界专家、企业代表及社区伙伴等共同探讨RISC-V发展趋势与机遇。作为本届RISC-V中国峰会的同期活动，8月25日下午，达坦科技将在线上举办第二届硬件敏捷开发与验证方法学研讨会。",cover:"./cover.png",location:"新加坡",date:"2023-08-20",title:"Upcoming Events l 2nd Hardware Agile Development and Verification Methodology Workshop"},n=[{label:"2023 RISC-V中国峰会",level:2},{label:"活动信息",level:2}],r=`

图片

2023 RISC-V中国峰会

2023年8月23日至25日， 2023 RISC-V中国峰会将在北京香格里拉饭店举办。本届峰会采用“主会议+主题活动+展览展示+同期活动”的会议组织方式，将邀请RISC-V国际基金会、业界专家、企业代表及社区伙伴等共同探讨RISC-V发展趋势与机遇。作为本届RISC-V中国峰会的同期活动，8月25日下午，达坦科技将在线上举办第二届硬件敏捷开发与验证方法学研讨会。

随着数字芯片的设计规模和复杂度越来越大，加之芯片市场的竞争越来越激烈，如何提升数字芯片的开发和验证效率成为业界关注的焦点。虽然各种设计工具、验证方法学层出不穷，但是一直没有得到业界广泛认可。目前业界普遍采用的还是基于Verilog、SystemVerilog、VHDL和UVM的工具和方法。

@@ -16,4 +16,4 @@ const t="/zh-cn/assets/cover-cf0f8eeb.png",o="/zh-cn/assets/image1-6485c4dd.jpg"

收看链接：
https://wx.vzan.com/live/tvchat-904511107?v=1691984417574
或欢迎点击下方链接预约公众号直播。

-

感兴趣的观众可以添加海报中的达坦科技小助手二维码加入讨论群，添加时请注明硬件敏捷开发和验证方法学研讨。

`;export{s as assetURLs,r as default,e as metadata,n as toc}; +

感兴趣的观众可以添加海报中的达坦科技小助手二维码加入讨论群，添加时请注明硬件敏捷开发和验证方法学研讨。

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封面

+const p="/zh-cn/assets/cover-266fa864.png",t=[p],o={label:"从云计算到天空计算（一）",description:"2021年，UC Berkeley的Ion Stoica和Scott Shenker，在运行系统热点话题的研讨会上，发布了“从云计算到天空计算”的论文。不同于我们都熟知的Cloud Computing(“云计算”)，Sky Computing (“天空计算”)，是云计算的未来，是指天空中有很多的云，如何解决跨云的问题，打破不同云之间的隔阂，最大化地利用跨云数据。",cover:"./cover.png",location:"海南",author:["达坦科技"],tags:["Xline"],date:"2023-01-19",title:"From Cloud Computing to Sky Computing (1)"},e=[{label:"简介",level:2},{label:"历史的回顾",level:2},{label:"从因特网获得的启示",level:2},{label:"兼容层",level:2},{label:"未完待续……",level:2}],n=`

封面

2021 年，UC Berkeley 的 Ion Stoica 和 Scott Shenker，在运行系统热点话题的研讨会上，发布了“从云计算到天空计算”的论文。不同于我们都熟知的 Cloud Computing(“云计算”)，Sky Computing (“天空计算”)，是云计算的未来，是指天空中有很多的云，如何解决跨云的问题，打破不同云之间的隔阂，最大化地利用跨云数据。

达坦科技的使命正如同论文中描述的“天空计算”的愿景：打造下一代云计算平台，让云之间没有隔阂。为此，新年伊始，我们翻译了这篇论文，将分两期发布。如下是“从云计算到天空计算”的第一部分。

简介

@@ -24,4 +24,4 @@ const t="/zh-cn/assets/cover-266fa864.png",p=[t],o={label:"从云计算到天空

虽然开源软件解决了天空计算中的绝大多数问题, 但是还有一个问题没有解决, 那就是存储问题, 因为每一家云厂商都会提供自己的存储接口。幸运的是已经有一个方案提供 S3 兼容的接口, 甚至一些云厂商自己也会提供 S3 兼容的接口。更进一步, 云平台之间的数据访问应该是可行的, 不会受到阻碍。

未完待续……

达坦科技（DatenLord）推出的开源分布式 KV 存储 Xline，就是针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并保证数据的一致性，方便业务系统实现多地多中心多活部署。

-

GitHub 链接：Https://github.com/datenlord/Xline

`;export{p as assetURLs,n as default,o as metadata,e as toc}; +

GitHub 链接：Https://github.com/datenlord/Xline

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引 言

+const s="/zh-cn/assets/image1-85650830.png",a="/zh-cn/assets/image2-d3ac686f.png",t="/zh-cn/assets/image3-d19685f7.png",e="/zh-cn/assets/image4-22c90bed.png",l="/zh-cn/assets/image5-060ec542.png",p="/zh-cn/assets/image6-e95accb5.png",n="/zh-cn/assets/image7-39b0aa47.png",i="/zh-cn/assets/image8-f5342e9f.png",c="/zh-cn/assets/image9-f8fdd108.png",r="/zh-cn/assets/image10-fea0520f.png",C="/zh-cn/assets/image11-3896bab5.png",o="/zh-cn/assets/image12-5d3c96d7.png",h="/zh-cn/assets/image13-56596c1a.png",d="/zh-cn/assets/image14-1cff1399.png",u="/zh-cn/assets/image15-f50d9208.png",m="/zh-cn/assets/image16-73064f95.png",g="/zh-cn/assets/image17-8fbf2614.png",R="/zh-cn/assets/image18-04a62cf7.png",_="/zh-cn/assets/image19-b4bc01e2.png",b="/zh-cn/assets/image20-41386794.png",j="/zh-cn/assets/image21-453c426e.png",S="/zh-cn/assets/image22-e0049342.png",f="/zh-cn/assets/image23-989a38cf.png",E=[s,a,t,e,l,p,n,i,c,r,C,o,h,d,u,m,g,R,_,b,j,S,f],y={label:"基于BSV的高性能并行CRC硬件电路生成器",description:"循环冗余校验码，即Cyclic Redundancy Check (CRC), 是一种在各种通信系统中广泛应用的检错机制。CRC算法的工作原理和哈希函数类似，具体来说，其对任意长度的数据计算出一段唯一的标识（校验和）, 然后根据这个标识来判断该数据在传输过程中是否发生变化。CRC检错码在实际生活中有着广泛的应用，诸如网络通信，存储系统等场景下都需要CRC来保证数据传输的正确性。而不同的应用场景往往需要采用不同的CRC配置参数，同时对计算的性能也有不同的需求。例如，在基于Ethernet协议的网络传输中需要采用IEEE802-3协议所规定的CRC参数，同时需要高吞吐率的CRC实现以和网络带宽相匹配。",location:"中国香港",author:["翁万正"],tags:["硬件加速"],date:"2023-07-27",title:"BSV based high performance parallel CRC hardware circuit generator"},x=[{label:"引 言",level:2},{label:"算法原理",level:2},{label:"CRC 计算的定义",level:3},{label:"电路架构与性能",level:2},{label:"架构设计",level:3},{label:"性能与面积",level:3},{label:"使用指南",level:2},{label:"配置参数",level:3},{label:"输入输出接口",level:3},{label:"BSV 使用接口",level:3},{label:"Verilog 使用接口",level:3},{label:"引用和链接",level:2}],F=`

引 言

循环冗余校验码，即 Cyclic Redundancy Check (CRC), 是一种在各种通信系统中广泛应用的检错机制。CRC 算法的工作原理和哈希函数类似，具体来说，其对任意长度的数据计算出一段唯一的标识（校验和）, 然后根据这个标识来判断该数据在传输过程中是否发生变化。CRC 检错码在实际生活中有着广泛的应用，诸如网络通信，存储系统等场景下都需要 CRC 来保证数据传输的正确性。而不同的应用场景往往需要采用不同的 CRC 配置参数，同时对计算的性能也有不同的需求。例如，在基于 Ethernet 协议的网络传输中需要采用 IEEE802-3 协议所规定的 CRC 参数，同时需要高吞吐率的 CRC 实现以和网络带宽相匹配。

对于一个具体的通信系统，CRC 既可以通过软件编程也可以硬件电路的形态来实现。相较于网络上丰富的软件库，开源的 CRC 硬件实现却相对落后，尤其是面向高性能的应用场景。例如，下述链接都提供了参数可配置的 CRC 硬件电路生成器，但这些实现方式都是直接将 CRC 算法映射到组合逻辑电路上，这往往会导致较长的组合逻辑延时进而降低电路的整体工作频率，无法满足高吞吐率的需求。

-

图片

`;export{e as assetURLs,o as default,r as metadata,s as toc}; +

图片

`;export{e as assetURLs,r as default,s as metadata,o as toc}; diff --git a/zh-cn/assets/index-5c7af483.js b/zh-cn/assets/index-53cb1e10.js similarity index 93% rename from zh-cn/assets/index-5c7af483.js rename to zh-cn/assets/index-53cb1e10.js index 58a1e06..8c0d4e2 100644 --- a/zh-cn/assets/index-5c7af483.js +++ b/zh-cn/assets/index-53cb1e10.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-0645adbc.jpg",o="/zh-cn/assets/image1-4a25d469.jpg",e="/zh-cn/assets/image2-ee430ce0.png",n=[t,o,e],a={label:"达坦科技受邀在2022中国计算机学会芯片大会做硬件加速研究分享",description:"2022年7月29日至7月30日，由中国计算机学会（CCF）集成电路设计专业委员会、容错计算专业委员会、体系结构专业委员会和信息存储技术专业委员会联合举办的学术大会中国计算机学会芯片大会在江苏南京如期圆满举行。",cover:"./cover.jpg",location:"新加坡",date:"2022-08-04",title:"Dartan Technology Invited to Do Hardware Acceleration Research Sharing at 2022 China Computer Society Chip Conference"},s=[],i=`

封面

+const t="/zh-cn/assets/cover-0645adbc.jpg",o="/zh-cn/assets/image1-4a25d469.jpg",e="/zh-cn/assets/image2-ee430ce0.png",s=[t,o,e],a={label:"达坦科技受邀在2022中国计算机学会芯片大会做硬件加速研究分享",description:"2022年7月29日至7月30日，由中国计算机学会（CCF）集成电路设计专业委员会、容错计算专业委员会、体系结构专业委员会和信息存储技术专业委员会联合举办的学术大会中国计算机学会芯片大会在江苏南京如期圆满举行。",cover:"./cover.jpg",location:"新加坡",date:"2022-08-04",title:"Dartan Technology Invited to Do Hardware Acceleration Research Sharing at 2022 China Computer Society Chip Conference"},n=[],c=`

封面

2022 年 7 月 29 日至 7 月 30 日，由中国计算机学会（CCF）集成电路设计专业委员会、容错计算专业委员会、体系结构专业委员会和信息存储技术专业委员会联合举办的学术大会中国计算机学会芯片大会在江苏南京如期圆满举行。

2022 年 CCF 芯片大会由中科院计算所孙凝晖院士、中科院微电子所刘明院士担任大会主席，集结国内外知名专家学者，围绕智能化时代的芯片技术主题，论述芯片领域国际最前沿、权威和新颖的学术观点，包括芯片设计与 EDA、新型体系架构、前沿存储技术、容错计算应用等方面的关键技术和应用前景。

达坦科技致力于软硬件深度融合的跨云存储平台，其硬件负责人吴迪带领研发团队在今年的Xilinx 全球自适应计算挑战赛上刚获得Big Data Analytics 赛道一等奖。此次，达坦科技提交的论文“基于 SpinalHDL 和 Cocotb 的 Poseidon 哈希算法硬件加速器的敏捷开发”也成功入选，并受邀在大会做分享。达坦科技的翁万正在 30 日下午领域专用架构与敏捷设计论文分组，向与会者介绍了研究背景、方法技术和实验结果。

@@ -6,4 +6,4 @@ const t="/zh-cn/assets/cover-0645adbc.jpg",o="/zh-cn/assets/image1-4a25d469.jpg"

Poseidon 是一种全新的面向零知识证明的(ZKP:Zero-Knowledge Proof)密码学协议设计的哈希算法。相比经典的 SHA-256 和 Keccak 哈希函数, 在零知识证明的应用场景下, Poseidon 能够显著地减少哈希函数的约束条件进而降低证明的计算复杂度, 极大提升零知识证明系统的运行效率。Poseidon 哈希函数的计算涉及高位宽模乘和矩阵乘法运算, 需要消耗大量计算资源。为了提升哈希计算的效率, 达坦基于流水线和折叠技术提出了一种面向 FPGA 平台的 Poseidon 硬件加速器架构。

在该整体架构下, 针对高位宽模乘, 达坦科技基于 Karatsuba 乘法拆分算法实现了一种高性能蒙哥马利模乘器。针对函数中的向量—矩阵乘法计算, 达坦科技基于脉动矩阵结构提出了一种高吞吐率的硬件实现。最终, 在搭载有 Xilinx Virtex Ultrascale+ FPGA 芯片的 Varium C1100 加速卡上, 硬件加速器每秒最高能完成 0.99M 次哈希计算, 达到 AMD Ryzen 5900X 处理器 Poseidon 计算速度的两倍。

图片

-

除了打造全新的广域网共识算法，达坦科技专注于自研面向存储网络的硬件加速，以期软硬件的深度融合能提升存储的性能。目前达坦科技的硬件项目 TRIDENT，已经在 Github 上开源，欢迎参与讨论：https://github.com/datenlord/TRIDENT。

`;export{n as assetURLs,i as default,a as metadata,s as toc}; +

除了打造全新的广域网共识算法，达坦科技专注于自研面向存储网络的硬件加速，以期软硬件的深度融合能提升存储的性能。目前达坦科技的硬件项目 TRIDENT，已经在 Github 上开源，欢迎参与讨论：https://github.com/datenlord/TRIDENT。

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d={mode:"hidden",children:n.children};return!(a&1)&&t.child!==i?(n=t.child,n.childLanes=0,n.pendingProps=d,t.deletions=null):(n=Mi(i,d),n.subtreeFlags=i.subtreeFlags&14680064),c!==null?o=Mi(c,o):(o=oo(o,a,r,null),o.flags|=2),o.return=t,n.return=t,n.sibling=o,t.child=n,n=o,o=t.child,a=e.child.memoizedState,a=a===null?Km(r):{baseLanes:a.baseLanes|r,cachePool:null,transitions:a.transitions},o.memoizedState=a,o.childLanes=e.childLanes&~r,t.memoizedState=Xm,n}return o=e.child,e=o.sibling,n=Mi(o,{mode:"visible",children:n.children}),!(t.mode&1)&&(n.lanes=r),n.return=t,n.sibling=null,e!==null&&(r=t.deletions,r===null?(t.deletions=[e],t.flags|=16):r.push(e)),t.child=n,t.memoizedState=null,n}function T0(e,t){return t=td({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function ic(e,t,r,n){return n!==null&&m0(n),_s(t,e.child,null,r),e=T0(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function eO(e,t,r,n,i,o,a){if(r)return t.flags&256?(t.flags&=-257,n=Bf(Error(H(422))),ic(e,t,a,n)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(o=n.fallback,i=t.mode,n=td({mode:"visible",children:n.children},i,0,null),o=oo(o,i,a,null),o.flags|=2,n.return=t,o.return=t,n.sibling=o,t.child=n,t.mode&1&&_s(t,e.child,null,a),t.child.memoizedState=Km(a),t.memoizedState=Xm,o);if(!(t.mode&1))return ic(e,t,a,null);if(i.data==="$!"){if(n=i.nextSibling&&i.nextSibling.dataset,n)var c=n.dgst;return n=c,o=Error(H(419)),n=Bf(o,n,void 0),ic(e,t,a,n)}if(c=(a&e.childLanes)!==0,cr||c){if(n=Pt,n!==null){switch(a&-a){case 4:i=2;break;case 16:i=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:i=32;break;case 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ap;(function(e){e.UseBlocker="useBlocker",e.UseRevalidator="useRevalidator",e.UseNavigateStable="useNavigate"})(ap||(ap={}));var tl;(function(e){e.UseBlocker="useBlocker",e.UseLoaderData="useLoaderData",e.UseActionData="useActionData",e.UseRouteError="useRouteError",e.UseNavigation="useNavigation",e.UseRouteLoaderData="useRouteLoaderData",e.UseMatches="useMatches",e.UseRevalidator="useRevalidator",e.UseNavigateStable="useNavigate",e.UseRouteId="useRouteId"})(tl||(tl={}));function xR(e){let t=N.useContext(V0);return t||be(!1),t}function _R(e){let t=N.useContext(f2);return t||be(!1),t}function SR(e){let t=N.useContext(ei);return t||be(!1),t}function g2(e){let t=SR(),r=t.matches[t.matches.length-1];return r.route.id||be(!1),r.route.id}function bR(){var e;let t=N.useContext(h2),r=_R(tl.UseRouteError),n=g2(tl.UseRouteError);return t||((e=r.errors)==null?void 0:e[n])}function kR(){let{router:e}=xR(ap.UseNavigateStable),t=g2(tl.UseNavigateStable),r=N.useRef(!1);return 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Fe.breakpoint===te.state.breakpoint}),G=lt[0].settings==="unslick"?"unslick":g(g(g({},o.default),this.props),lt[0].settings)):G=g(g({},o.default),this.props),G.centerMode&&(G.slidesToScroll>1,G.slidesToScroll=1),G.fade&&(G.slidesToShow>1,G.slidesToScroll>1,G.slidesToShow=1,G.slidesToScroll=1);var Te=r.default.Children.toArray(this.props.children);Te=Te.filter(function(Fe){return typeof Fe=="string"?!!Fe.trim():!!Fe}),G.variableWidth&&(G.rows>1||G.slidesPerRow>1)&&(console.warn("variableWidth is not supported in case of rows > 1 or slidesPerRow > 1"),G.variableWidth=!1);for(var $e=[],ht=null,W=0;W=Te.length));he+=1)ue.push(r.default.cloneElement(Te[he],{key:100*W+10*Q+he,tabIndex:-1,style:{width:"".concat(100/G.slidesPerRow,"%"),display:"inline-block"}}));le.push(r.default.createElement("div",{key:10*W+Q},ue))}G.variableWidth?$e.push(r.default.createElement("div",{key:W,style:{width:ht}},le)):$e.push(r.default.createElement("div",{key:W},le))}if(G==="unslick"){var st="regular slider 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Map([["distributed-storage","company1"],["data-access","/solutions/data-access"],["metadata-management","/solutions/metadata-management"],["hardware-acceleration","/solutions"],["open-source","/resources1"]]),UA=()=>{const e=Ct();return l.jsx(AA,{children:jA.map(({key:t,label:r,content:n,url:i})=>l.jsx(IA,{children:l.jsxs(NA,{children:[l.jsxs($A,{children:[l.jsx(YA,{children:r}),l.jsx(zA,{src:CA}),l.jsx(HA,{onClick:()=>{e(i)},children:"更多"}),l.jsx(FA,{src:DA})]}),n.type==="ul"?null:l.jsx(VA,{children:n.content})]})},t))})},BA=({items:e})=>{const t=Ct(),{key:r,title:n,description:i}=e;return l.jsx(PA,{bg:r,children:l.jsxs(LA,{children:[l.jsx(OA,{style:{marginBottom:"0.32rem"},children:n}),l.jsx(RA,{style:{maxWidth:"6.12rem",textAlign:"center",marginBottom:"0.7rem"},children:i}),l.jsx(fn,{style:{marginBottom:"1.49rem"},onClick:()=>{t(WA.get(r))},children:"了解更多"}),l.jsx(UA,{})]})})},GA=f.div` +`,WA=new Map([["distributed-storage","company1"],["data-access","/solutions/data-access"],["metadata-management","/solutions/metadata-management"],["hardware-acceleration","/solutions"],["open-source","/resources1"]]),UA=()=>{const e=Ct();return l.jsx(AA,{children:jA.map(({key:t,label:r,content:n,url:i})=>l.jsx(IA,{children:l.jsxs(NA,{children:[l.jsxs($A,{children:[l.jsx(zA,{children:r}),l.jsx(YA,{src:CA}),l.jsx(HA,{onClick:()=>{e(i)},children:"更多"}),l.jsx(FA,{src:DA})]}),n.type==="ul"?null:l.jsx(VA,{children:n.content})]})},t))})},BA=({items:e})=>{const t=Ct(),{key:r,title:n,description:i}=e;return l.jsx(PA,{bg:r,children:l.jsxs(LA,{children:[l.jsx(OA,{style:{marginBottom:"0.32rem"},children:n}),l.jsx(RA,{style:{maxWidth:"6.12rem",textAlign:"center",marginBottom:"0.7rem"},children:i}),l.jsx(fn,{style:{marginBottom:"1.49rem"},onClick:()=>{t(WA.get(r))},children:"了解更多"}),l.jsx(UA,{})]})})},GA=f.div` background-color: #000; 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`+o.message+` align-self: flex-end; `,d3=f($d)` color: #000; -`,f3=f(Yd)` +`,f3=f(zd)` width: 90%; padding-bottom: 0.14rem; `,h3=f($d)` color: #000; padding-bottom: 0.14rem; -`,m3=f(Yd)` +`,m3=f(zd)` width: 70%; text-align: right; padding-bottom: 0.14rem; @@ -666,101 +666,101 @@ Error generating stack: `+o.message+` transform: rotate(80deg); `,w3=f($d)` color: #000; -`,x3=f(Yd)` +`,x3=f(zd)` padding-bottom: 0.35rem; `,_3=f.ul` padding-bottom: 0.3rem; color: #7680dd; `,mh=f(e3)` padding-bottom: 0.05rem; -`,ph=f(Yd)` +`,ph=f(zd)` padding-bottom: 0.05rem; color: ${e=>e.theme.themeDark}; -`,gh=f.div``,zd=f.div` +`,gh=f.div``,Yd=f.div` position: absolute; width: 0.36rem; height: 0.36rem; background-color: transparent; border-radius: 0.18rem; -`,N1=f(zd)` +`,N1=f(Yd)` top: -0.02rem; left: -0.02rem; border-left: 0.03rem solid #767ee5; transform: rotate(45deg); -`,$1=f(zd)` +`,$1=f(Yd)` bottom: -0.02rem; left: -0.02rem; border-left: 0.03rem solid #767ee5; transform: rotate(-45deg); -`,S3=f(zd)` +`,S3=f(Yd)` top: -0.02rem; right: -0.02rem; border-right: 0.03rem solid #767ee5; transform: rotate(-45deg); -`,b3=f(zd)` +`,b3=f(Yd)` bottom: -0.02rem; right: -0.02rem; border-right: 0.03rem solid #767ee5; transform: rotate(45deg); -`,Ys=f.div` +`,zs=f.div` position: absolute; height: 0.03rem; -`,k3=f(Ys)` +`,k3=f(zs)` top: -0.03rem; left: 0.13rem; width: 93%; background: linear-gradient(90deg, #767ee5, #9966cc); -`,C3=f(Ys)` +`,C3=f(zs)` top: -0.03rem; right: 0.13rem; width: 10%; background: #767ee5; -`,D3=f(Ys)` +`,D3=f(zs)` top: -0.03rem; left: 0.13rem; width: 10%; background: #767ee5; -`,j3=f(Ys)` +`,j3=f(zs)` bottom: -0.03rem; left: 0.13rem; width: 70%; background: linear-gradient(90deg, #767ee5, #9966cc); -`,T3=f(Ys)` +`,T3=f(zs)` bottom: -0.03rem; right: 0.13rem; width: 90%; background: linear-gradient(90deg, #9966cc, #767ee5); -`,E3=f(Ys)` +`,E3=f(zs)` bottom: -0.03rem; left: 0.13rem; width: 100%; background: linear-gradient(90deg, #9966cc, #767ee5); -`,zs=f.div` +`,Ys=f.div` position: absolute; width: 0.16rem; height: 0.16rem; border-radius: 50%; -`,O3=f(zs)` +`,O3=f(Ys)` top: calc(-0.08rem - 0.02rem); right: 5%; background: #9966cc; -`,R3=f(zs)` +`,R3=f(Ys)` bottom: calc(-0.08rem - 0.02rem); right: 28%; background: #9966cc; -`,M3=f(zs)` +`,M3=f(Ys)` top: calc(-0.08rem - 0.01rem); right: 10%; background: #767ee5; -`,P3=f(zs)` +`,P3=f(Ys)` bottom: calc(-0.08rem - 0.01rem); left: 8%; background: #9966cc; -`,L3=f(zs)` +`,L3=f(Ys)` top: calc(-0.08rem - 0.02rem); left: 10%; background: #767ee5; -`,A3=f(zs)` +`,A3=f(Ys)` bottom: calc(-0.08rem - 0.01rem); right: -2%; background: #767ee5; @@ -772,7 +772,7 @@ Error generating stack: `+o.message+` display: flex; flex-direction: column; align-items: center; -`,Y1=f.div` +`,z1=f.div` width: 0.16rem; height: 0.16rem; background: #d9dbef; @@ -783,7 +783,7 @@ Error generating stack: `+o.message+` height: 0.22rem; background: #7680dd; border-radius: 50%; -`,CS=()=>{const e=Ct();return 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AI联合创始人、前华为天才少年李博杰，来为大家分享网络的智能该放在哪里：网卡、交换机还是xPU。",date:"2023.09.25",url:"https://www.bilibili.com/video/BV1Kw411Y7Cj/"}],z8="/zh-cn/assets/cover1-42e6189a.jpg",H8="/zh-cn/assets/cover2-af26ed46.jpg",F8="/zh-cn/assets/cover3-9c9d21fa.jpg",V8=[{key:1,image:z8,title:"Xline-跨数据中心一致性的元数据管理",text:"天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline是一款开源分布式KV存储系统，基于Curp共识算法实现，旨在提供跨云元数据管理的功能。相比于传统共识协议Raft或Paxos，Curp在天空计算的场景中有着更好的性能表现。本次分享将聚焦于共识算法，从天空计算的背景和挑战出发，介绍Curp共识算法，以及Revision机制与Curp无序性语义之间的冲突，最后，简述下Xline未来的优化方向。欢迎了解更多关于Xline的信息：Https://github.com/datenlord/Xline",date:"2023.02.09",url:"https://www.bilibili.com/video/BV1XY411q7X8/"},{key:2,image:H8,title:"源码解读：Xline 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Unsafe Rust》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由《Rust 编程之道》作者、Rust 中文社区布道者张汉东老师进行，主题为《理解 Unsafe Rust》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1c24y1A7aK/"},{key:3,image:B8,title:"4.8 Beijing Rust Meetup｜冯洋《RUFES》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场由南京大学计算机科学与技术系助理研究员冯洋老师进行《基于实际场景应用分析的Rust库模糊测试技术报告》的演讲分享。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Qo4y1n7tS/"},{key:4,image:G8,title:"4.8 Beijing Rust Meetup｜施继成《Rust for Linux 6.2》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由达坦科技联合创始人兼CTO施继成进行，演讲主题是《Rust for Linux 6.2》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Bs4y117Ze/"},{key:5,image:X8,title:"4.8 Beijing Rust Meetup｜叶天星《用Rust实现Git传输协议、Git对象解析和数据库存储》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由达坦科技联合创始人兼CTO施继成进行，演讲主题是《Rust for Linux 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Design",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的一个workshop：Utilizing SpinalHDL for Large-scale Datapath Design，由李天瑞进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1PM411m7DB/"},{key:2,image:tH,title:"A Network Attached Deep Learning Accelerator for FPGA Clusters",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的三个workshop：A Network Attached Deep Learning Accelerator for FPGA Clusters，由Philipp Kreowsky Justin Knapheide进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1HM411m7mS/"},{key:3,image:rH,title:"Coding a microprogrammed protocol receiver in SpinalHDL",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的五个workshop：Coding a microprogrammed protocol receiver in SpinalHDL，由Michael Meier进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1oK411z7VD/"},{key:4,image:nH,title:"Utilizing SpinalHDL to Accelerate Neuroscience",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的二个workshop：Utilizing SpinalHDL to Accelerate Neuroscience，由Jeff-Ciesielski进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1GG4y1J7gU/"},{key:5,image:iH,title:"SpinalHDL in Computer Architecture Research",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的四个workshop：SpinalHDL in Computer Architecture Research，由Sallar Ahmadi-Pour ( saahm)进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1gA411X7f8/"},{key:6,image:oH,title:"NaxRiscv: A Pipeline/Plugins/SpinalHDL/Scala mix",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第六个workshop：NaxRiscv: A Pipeline/Plugins/SpinalHDL/Scala mix，由Dolu1990进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV13K41167q5/"},{key:7,image:sH,title:"Recent progress on formal verification support on SpinalHDL",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第七个workshop：Recent progress on formal verification support on SpinalHDL，由Xiao Yindong (Readon)进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV1bG411N7fk/"},{key:8,image:aH,title:"SpinalHDL for ASIC",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第八个workshop：SpinalHDL for ASIC，由Sebastien-riou进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV16e4y1L7dV/"},{key:9,image:lH,title:"From Peripheral Plugins to Product documentation",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第九个workshop：From Peripheral Plugins to Product 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为分布式算法验证正确性”介绍。",date:"2023.01.09",url:"https://www.bilibili.com/video/BV1pG4y1y7an/"},{key:22,image:x8,title:"喷泉码技术简介",text:"本场workshop由兰州大学信息科学与工程学院副教授、通信工程专业系主任袁磊 进行分享，主要内容为“喷泉码技术简介”介绍。",date:"2023.01.15",url:"https://www.bilibili.com/video/BV1SM411b77k/"},{key:23,image:_8,title:"数据库隔离级别及MVCC",text:"本场workshop由达坦科技DatenLord施继成进行分享，主要内容为“数据库隔离级别及MVCC”介绍。",date:"2023.01.29",url:"https://www.bilibili.com/video/BV1sR4y1b7Cu/"},{key:24,image:S8,title:"互联网传输协议优化研究",text:"本场workshop由中国人民大学副教授李彤教授进行分享，主要内容为“互联网传输协议优化研究”介绍。",date:"2023.02.06",url:"https://www.bilibili.com/video/BV1X84y157vL/"},{key:25,image:b8,title:"高性能RDMA网络协议栈",text:"高性能RDMA网络协议栈是RDMA高性能网络的核心组成部分之一，它提供了支持RDMA技术的网络协议和驱动程序。在本周的前沿科技分享中，我们邀请到了湖南大学信息科学与工程学院的陈果教授来给我们分享高性能RDMA网络协议栈的话题。",date:"2023.02.28",url:"https://www.bilibili.com/video/BV1Y24y1n7Dk/"},{key:26,image:k8,title:"GPU抢占式任务调度",text:"GPU编程可以大幅提升计算速度和效率，从而使得许多计算任务得以在合理时间内完成。随着GPU硬件技术的发展和大规模数据处理需求的增加，GPU编程的应用范围不断扩大。在本周的前沿科技分享中，我们邀请到了上海交通大学并行与分布式研究所的韩明聪博士来给我们分享GPU抢占式任务调度。",date:"2023.03.05",url:"https://www.bilibili.com/video/BV1cY4y1y7ND/"},{key:27,image:C8,title:"聊聊RaptorQ纠错码",text:"喷泉码具有极高的纠错能力，且具有低延迟、地复杂度、高效率等优点，使其在冷存储、分布式存储、无线通信等领域得到广泛应用。达坦科技致力于软硬件融合的解决方案，喷泉码的高效实现在硬件上，作为公司长期的技术储备，在本周的前沿科技分享中，达坦科技的联合创始人兼CTO施继成将为大家分享聊聊 RaptorQ 纠错码 。",date:"2023.03.15",url:"https://www.bilibili.com/video/BV1wL411C7DL/"},{key:28,image:D8,title:"Buddy Compiler 简介和愿景",text:"在本次分享中，中国科学院软件研究所博士生张洪滨将介绍Buddy Compiler 编译流程、协同设计、硬件支持。Buddy Compiler 是领域特定的编译器框架，致力于打造基于 MLIR 和 RISC-V 的软硬件协同设计生态。其目标是实现从 DSL 到 DSA 的编译流程和协同设计，愿景是让领域特定的协同设计不再困难。",date:"2023.03.21",url:"https://www.bilibili.com/video/BV1YT41167GB/"},{key:29,image:j8,title:"新一代计算架构：超异构计算",text:"AGI带来的变化之一是算力将进一步从CPU转到GPU，在本周的前沿技术分享中，我们邀请到了上海矩向科技创始人兼CEO黄朝波为大家分享新一代计算架构：超异构计算。",date:"2023.04.04",url:"https://www.bilibili.com/video/BV1Rm4y1q7Dx/"},{key:30,image:T8,title:"通过Chainsaw设计DSP电路",text:"DSP在数据压缩、编码和加密方面都发挥了重要的作用；SpinalHDL具有更高的抽象层次和更强的表达能力，可以大大简化DSP电路设计的复杂度和提高开发效率；而Chainsaw框架可以在不同的FPGA平台上运行，提高了设计的灵活性和可移植性。在本周的前沿技术分享中，我们邀请到了中山大学在读博士李天瑞为大家分享通过Chainsaw设计DSP电路。",date:"2023.04.18",url:"https://www.bilibili.com/video/BV14o4y1j7bH/"},{key:31,image:E8,title:"Something About Cache Security",text:"在本周的前沿技术分享中，我们邀请到了浙江大学在读硕士研究生缪晨露为大家分享她在MICRO和HPCA上发表的两篇论文的精华，演讲主题是Something 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CEO崔汉青，来为大家分享Rust在物理引擎研发中的应用。",date:"2023.06.27",url:"https://b23.tv/BZuSvyW"},{key:40,image:L8,title:"基于BSV的RTL仿真加速设计研究",text:"BSV的仿真加速可以提升硬件开发调试的效率。在本周的前沿技术分享中，我们邀请到了梁之杰，来为大家分享基于BSV的RTL仿真加速设计研究。",date:"2023.07.09",url:"https://www.bilibili.com/video/BV1ou411L7Yy/"},{key:50,image:A8,title:"大模型训练和基础设施",text:"在本周的前沿技术分享中，我们邀请到了范一呈，来为大家分享大模型训练和基础设施。",date:"2023.09.01",url:"https://www.bilibili.com/video/BV1ZN4y1R7HP/"},{key:51,image:I8,title:"RustBelt与Rust形式化方法",text:"在本周的前沿技术分享中，我们邀请到了王俊吉，来为大家分享RustBelt与Rust形式化方法。",date:"2023.09.04",url:"https://www.bilibili.com/video/BV1Vw411D7rT/"},{key:52,image:N8,title:"网络的智能该放在哪里：网卡、交换机还是xPU",text:"在本周的前沿技术分享中，我们邀请到了Logenic AI联合创始人、前华为天才少年李博杰，来为大家分享网络的智能该放在哪里：网卡、交换机还是xPU。",date:"2023.09.25",url:"https://www.bilibili.com/video/BV1Kw411Y7Cj/"},{key:53,image:$8,title:"以ARM为镜的RISC-V",text:"在本周的前沿技术分享中，我们邀请到了Logenic AI联合创始人、前华为天才少年李博杰，来为大家分享网络的智能该放在哪里：网卡、交换机还是xPU。",date:"2023.09.25",url:"https://www.bilibili.com/video/BV1Kw411Y7Cj/"}],Y8="/zh-cn/assets/cover1-42e6189a.jpg",H8="/zh-cn/assets/cover2-af26ed46.jpg",F8="/zh-cn/assets/cover3-9c9d21fa.jpg",V8=[{key:1,image:Y8,title:"Xline-跨数据中心一致性的元数据管理",text:"天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline是一款开源分布式KV存储系统，基于Curp共识算法实现，旨在提供跨云元数据管理的功能。相比于传统共识协议Raft或Paxos，Curp在天空计算的场景中有着更好的性能表现。本次分享将聚焦于共识算法，从天空计算的背景和挑战出发，介绍Curp共识算法，以及Revision机制与Curp无序性语义之间的冲突，最后，简述下Xline未来的优化方向。欢迎了解更多关于Xline的信息：Https://github.com/datenlord/Xline",date:"2023.02.09",url:"https://www.bilibili.com/video/BV1XY411q7X8/"},{key:2,image:H8,title:"源码解读：Xline Curp共识协议的设计与实现",text:"传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord推出开源分布式KV存储Xline，针对多数据中心场景，可以实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性。",date:"2023.04.30",url:"https://www.bilibili.com/video/BV1dL411h7YK/"},{key:3,image:F8,title:"Xline的Lease机制与实现",text:"传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord推出开源分布式KV存储Xline，针对多数据中心场景，可以实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性。",date:"2023.06.09",url:"https://www.bilibili.com/video/BV1FX4y1h7X5/"}],W8="/zh-cn/assets/cover1-a1358db9.jpg",U8="/zh-cn/assets/cover2-b899ea12.jpg",B8="/zh-cn/assets/cover3-e0bf4798.jpg",G8="/zh-cn/assets/cover4-15b0b4f1.jpg",X8="/zh-cn/assets/cover5-7c4c2482.jpg",K8="/zh-cn/assets/cover6-1c4d5c5f.jpg",Q8="/zh-cn/assets/cover7-4f7454c0.jpg",q8="/zh-cn/assets/cover8-7e30c0fc.jpg",Z8="/zh-cn/assets/cover9-e8c86c60.jpg",J8=[{key:7,image:Q8,title:"2022年Rust开发者大会Workshop One：用Rust实现RDMA高性能编程",text:"2022年7月31日，北京达坦科技有限公司获邀参加Rust China大会，并做公司专题workshop。这是本场workshop的第一部分，将为大家介绍如何用Rust实现RDMA高性能编程。",date:"2022.08.03",url:"https://www.bilibili.com/video/BV13e4y1D7Ch/"},{key:8,image:q8,title:"2022年Rust开发者大会Workshop Two：Async RDMA",text:"2022年7月31日，北京达坦科技有限公司获邀参加Rust China大会，并做公司专题workshop。这是第二部分workshop，将为大家介绍Async RDMA。",date:"2022.08.04",url:"https://www.bilibili.com/video/BV1Rh411M7EP/"},{key:9,image:Z8,title:"2022年Rust开发者大会Workshop Three：Workshop动手实验环节",text:"2022年7月31日，北京达坦科技有限公司获邀参加Rust China大会，并做公司专题Workshop。这是本场Worshop的第三个部分：workshop动手环节 方便大家体验用Rust构建RDMA应用。",date:"2022.08.04",url:"https://www.bilibili.com/video/BV1oN4y1V7Hn/"},{key:1,image:W8,title:"Rust China Hackathon2022空中路演",text:"由Rust中文社区举办的题为「Rust For Fun」的首届Rust China Hackathon已经顺利完赛。达坦科技作为本届Hackathon的协办方，赞助参与本次企业组赛道。最终获得优胜奖的两支队伍在线上了举办一场空中路演。分享了：他们是如何思考拆解赛题的？在着手设计时碰到哪些难点和挑战？以及最终提交的代码设计思路和亮点。欢迎对Concurrent Indexing感兴趣的伙伴观看本条视频。",date:"2023.01.15",url:"https://www.bilibili.com/video/BV1xY41197Za/"},{key:2,image:U8,title:"4.8 Beijing Rust Meetup｜张汉东《理解 Unsafe Rust》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由《Rust 编程之道》作者、Rust 中文社区布道者张汉东老师进行，主题为《理解 Unsafe Rust》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1c24y1A7aK/"},{key:3,image:B8,title:"4.8 Beijing Rust Meetup｜冯洋《RUFES》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场由南京大学计算机科学与技术系助理研究员冯洋老师进行《基于实际场景应用分析的Rust库模糊测试技术报告》的演讲分享。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Qo4y1n7tS/"},{key:4,image:G8,title:"4.8 Beijing Rust Meetup｜施继成《Rust for Linux 6.2》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由达坦科技联合创始人兼CTO施继成进行，演讲主题是《Rust for Linux 6.2》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Bs4y117Ze/"},{key:5,image:X8,title:"4.8 Beijing Rust Meetup｜叶天星《用Rust实现Git传输协议、Git对象解析和数据库存储》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由达坦科技联合创始人兼CTO施继成进行，演讲主题是《Rust for Linux 6.2》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Bs4y117Ze/"},{key:6,image:K8,title:"4.8 Beijing Rust Meetup｜茌海《Monoio：一个基于 io-uring 的 Rust Runtime》",text:"2023年4月8日，达坦科技联合南京大学、CloudWeGo、华为等技术专家成功举办了题为Rust 💡X的meetup。本场分享由达坦科技联合创始人兼CTO施继成进行，演讲主题是《Rust for Linux 6.2》。",date:"2023.04.12",url:"https://www.bilibili.com/video/BV1Rh411M7EP/"}],eH="/zh-cn/assets/cover1-b9371555.jpg",tH="/zh-cn/assets/cover2-41a903e3.jpg",rH="/zh-cn/assets/cover2-41a903e3.jpg",nH="/zh-cn/assets/cover2-41a903e3.jpg",iH="/zh-cn/assets/cover2-41a903e3.jpg",oH="/zh-cn/assets/cover2-41a903e3.jpg",sH="/zh-cn/assets/cover2-41a903e3.jpg",aH="/zh-cn/assets/cover2-41a903e3.jpg",lH="/zh-cn/assets/cover2-41a903e3.jpg",cH="/zh-cn/assets/cover2-bb13b118.jpg",uH="/zh-cn/assets/cover11-c29e9692.jpg",dH="/zh-cn/assets/cover12-6877e246.jpg",fH="/zh-cn/assets/cover13-a69a12b0.jpg",hH=[{key:1,image:eH,title:"Utilizing SpinalHDL for Large-scale Datapath Design",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的一个workshop：Utilizing SpinalHDL for Large-scale Datapath Design，由李天瑞进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1PM411m7DB/"},{key:2,image:tH,title:"A Network Attached Deep Learning Accelerator for FPGA Clusters",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的三个workshop：A Network Attached Deep Learning Accelerator for FPGA Clusters，由Philipp Kreowsky Justin Knapheide进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1HM411m7mS/"},{key:3,image:rH,title:"Coding a microprogrammed protocol receiver in SpinalHDL",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的五个workshop：Coding a microprogrammed protocol receiver in SpinalHDL，由Michael Meier进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1oK411z7VD/"},{key:4,image:nH,title:"Utilizing SpinalHDL to Accelerate Neuroscience",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的二个workshop：Utilizing SpinalHDL to Accelerate Neuroscience，由Jeff-Ciesielski进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1GG4y1J7gU/"},{key:5,image:iH,title:"SpinalHDL in Computer Architecture Research",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的四个workshop：SpinalHDL in Computer Architecture Research，由Sallar Ahmadi-Pour ( saahm)进行分享。",date:"2022.12.20",url:"https://www.bilibili.com/video/BV1gA411X7f8/"},{key:6,image:oH,title:"NaxRiscv: A Pipeline/Plugins/SpinalHDL/Scala mix",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第六个workshop：NaxRiscv: A Pipeline/Plugins/SpinalHDL/Scala mix，由Dolu1990进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV13K41167q5/"},{key:7,image:sH,title:"Recent progress on formal verification support on SpinalHDL",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第七个workshop：Recent progress on formal verification support on SpinalHDL，由Xiao Yindong (Readon)进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV1bG411N7fk/"},{key:8,image:aH,title:"SpinalHDL for ASIC",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第八个workshop：SpinalHDL for ASIC，由Sebastien-riou进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV16e4y1L7dV/"},{key:9,image:lH,title:"From Peripheral Plugins to Product documentation",text:"为了让对开源硬件感兴趣的朋友进一步了解SpinalHDL，达坦科技联合SpinalHDL社区举办一场题为《SpinalHDL应用前景探索》的线上研讨会（Webinar）。本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程（Flow）。这是本场研讨会的第九个workshop：From Peripheral Plugins to Product documentation，由Andreas Wallner进行分享。",date:"2022.12.21",url:"https://www.bilibili.com/video/BV12v4y1Q7cg/"},{key:10,image:cH,title:"如何用Rust写分布式系统",text:"分享会介绍分布式KV Store (Xline) 整体的组成，以及不同组件之间如何去交互。在广域网下的分布式系统如何高效地达成共识，以及分布式系统如何实现容错。",date:"2023.06.24",url:"https://www.bilibili.com/video/BV1Hs4y1r7dD/"},{key:11,image:uH,title:"Building microsecond-scale system with modern networking in Rust",text:"随着新型网络技术，如RDMA的普及，现代分布式应用的延迟降到了毫秒甚至微秒级别。这为构建系统软件带来了新的挑战。Rust的zero-cost抽象及内存管理能力能够为构建新型分布式应用带来新的机遇。我将分享利用Rust在用户态及内核态构建新型系统软件的相关经验，包括如何利用Rust抽象RDMA硬件的底层抽象及如何在内核构建一个毫秒级的容器启动机制",date:"2023.06.24",url:"https://www.bilibili.com/video/BV1Zo4y1P7Sg/"},{key:12,image:dH,title:"30分钟体验Rust for Linux内核模块开发",text:"本主题会提供构建好的docker开发环境，在30分钟内演示如何使用r4l开发一个简易内核模块，并介绍目前r4l的发展现状。可以自备好电脑现场体验。",date:"2023.06.24",url:"https://www.bilibili.com/video/BV12j411U78o/"},{key:13,image:fH,title:"Coroutines Applied to a Tilelink Interconnect 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-1,4 +1,4 @@ -const p="/zh-cn/assets/cover-9e502538.png",n="/zh-cn/assets/image1-09ca1c97.jpg",s="/zh-cn/assets/image2-f93efd4a.jpg",t="/zh-cn/assets/image3-50beaba8.png",o=[p,n,s,t],a={label:"SpinalHDL的使用和开发经验研讨会",description:"SpinalHDL始于2014年，最初是作为VHDL/Verilog的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注。",cover:"./cover.png",location:"中国香港",date:"2023-07-03",title:"SpinalHDL usage and development experience workshop"},r=[],g=`

SpinalHDL 始于 2014 年，最初是作为 VHDL/Verilog 的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注。

+const p="/zh-cn/assets/cover-9e502538.png",n="/zh-cn/assets/image1-09ca1c97.jpg",s="/zh-cn/assets/image2-f93efd4a.jpg",t="/zh-cn/assets/image3-50beaba8.png",a=[p,n,s,t],o={label:"SpinalHDL的使用和开发经验研讨会",description:"SpinalHDL始于2014年，最初是作为VHDL/Verilog的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注。",cover:"./cover.png",location:"中国香港",date:"2023-07-03",title:"SpinalHDL usage and development experience workshop"},r=[],e=`

SpinalHDL 始于 2014 年，最初是作为 VHDL/Verilog 的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注。

达坦科技（DatenLord） 致力于打造高性能跨云存储，其通过软硬件深度融合的方式打破云之间的壁垒，实现高性能跨云数据访问，提供海量异地、异构数据的统一存储访问机制，为云上应用提供高性能安全存储支持。

达坦科技采用硬件加速提升存储性能，目前采用 FPGA、ASIC 实现存储相关场景的性能加速。SpinalHDL 是达坦科技在产品中使用的硬件描述语言之一，达坦科技也一直热心于推广 SpinalHDL 在业界的落地应用。在 2022 年 12 月，达坦科技曾联合 SpinalHDL 社区举办一场题为《SpinalHDL 应用前景探索》的线上研讨会，收获海内外 SpinalHDL 爱好者的欢迎。

而在北京时间 2023 年 7 月 7 日下午 14:00-17:00，达坦科技将联合 SpinalHDL 社区，以及四川芯测电子技术有限公司举办一场题为 SpinalHDL 的使用和开发经验研讨会，旨在和大家分享 SpinalHDL 最新的实践、挑战和经验的分享。

@@ -13,4 +13,4 @@ const p="/zh-cn/assets/cover-9e502538.png",n="/zh-cn/assets/image1-09ca1c97.jpg" 474-6575-9473

图片

对开源硬件感兴趣的朋友，可以添加小助手微信，加入达坦科技硬件群。

-

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`;export{o as assetURLs,g as default,a as metadata,r as toc}; +

图片

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本文主要介绍了 DatenLord 团队在今年的 Xilinx 全球自适应计算挑战赛上获得 Big Data Analytics 赛道一等奖的作品——TRIDENT: Poseidon 哈希算法的硬件实现与加速。该项目基于 Xilinx Varium C1100 FPGA 加速卡，为 Filecoin 区块链应用中的 Poseidon 哈希算法提供了一套完整的硬件加速方案。在硬件方面，TRIDENT 基于 SpinalHDL 设计了 Poseidon 加速器 IP 并基于 Vivado 中 Block Design 工具搭建完整的 FPGA 硬件系统。在软件方面，我们为 Filecoin 软件实现 Lotus 提供了访问 FPGA 硬件加速器的接口。最终，TRIDENT 能够为 Filecoin 应用提供两倍于 AMD Ryzen 5900X 处理器的 Poseidon 计算加速效果。下文将主要从 Poseidon 哈希算法概述、基于 SpinalHDL 和 Cocotb 的硬件设计、总体方案设计、加速器 IP 设计和性能测试等方面对整个 TRIDENT 项目进行详细的介绍。

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本文主要介绍了 DatenLord 团队在今年的 Xilinx 全球自适应计算挑战赛上获得 Big Data Analytics 赛道一等奖的作品——TRIDENT: Poseidon 哈希算法的硬件实现与加速。该项目基于 Xilinx Varium C1100 FPGA 加速卡，为 Filecoin 区块链应用中的 Poseidon 哈希算法提供了一套完整的硬件加速方案。在硬件方面，TRIDENT 基于 SpinalHDL 设计了 Poseidon 加速器 IP 并基于 Vivado 中 Block Design 工具搭建完整的 FPGA 硬件系统。在软件方面，我们为 Filecoin 软件实现 Lotus 提供了访问 FPGA 硬件加速器的接口。最终，TRIDENT 能够为 Filecoin 应用提供两倍于 AMD Ryzen 5900X 处理器的 Poseidon 计算加速效果。下文将主要从 Poseidon 哈希算法概述、基于 SpinalHDL 和 Cocotb 的硬件设计、总体方案设计、加速器 IP 设计和性能测试等方面对整个 TRIDENT 项目进行详细的介绍。

引言

Poseidon 是一种全新的面向零知识证明(ZKP: Zero-Knowledge Proof)密码学协议设计的哈希算法。相比同类算法，包括经典的 SHA-256、SHA-3 以及 Pedersen 哈希函数，在零知识证明的应用场景下，Poseidon 能够显著地降低证明生成和验证的计算复杂度，极大地提升零知识证明系统整体的运行效率。基于上述优点，Poseidon 目前已被广泛应用在了各种区块链项目当中，包括去中心化存储系统 Filecoin、加密货币 Mina Protocol 和 Dusk Network 等，主要用于加速其中的零知识证明系统。

0.1 Poseidon 与零知识证明

@@ -203,16 +203,16 @@ const i="/zh-cn/assets/image1-9e1613a7.png",o="/zh-cn/assets/image2-7b7b20fc.png

其中 R 需要满⾜ R = 2k > p ; 且 R 和 p 满⾜互质关系，即 gcd(R,p) = 1; 在该数域内的乘法， 即 Montgomery 乘法操作的定义如下 ：

c′ = a′ ⋅ b′ mod p

详细的算法实现流程如下：

-

图片

-

由 R = 2k 可知，上述算法中 2 - 4 步的取余和除法操作均可以由移位代替， 而在 R 和 p 固定的情况下步骤 3 中 p′ 的值可以提前计算，⽽ 5-6 步的取余操作可以通过⼀次加法或减法实现，因此，整个 Montgomery 模乘算法总共需要完成三次乘法和两次加法/减法。在具体的电路设计中，为了提⾼模乘器性能，TRIDENT 采⽤了展开的设计思路，三次乘法运算分别由三个级联的乘法器完成，使得每个周期均可以输出⼀个乘法结果，同时基于流水线技术对长组合逻辑路径进行切割以使电路达到更高的工作频率，具体的电路实现结构如下图所示。

图片

+

由 R = 2k 可知，上述算法中 2 - 4 步的取余和除法操作均可以由移位代替， 而在 R 和 p 固定的情况下步骤 3 中 p′ 的值可以提前计算，⽽ 5-6 步的取余操作可以通过⼀次加法或减法实现，因此，整个 Montgomery 模乘算法总共需要完成三次乘法和两次加法/减法。在具体的电路设计中，为了提⾼模乘器性能，TRIDENT 采⽤了展开的设计思路，三次乘法运算分别由三个级联的乘法器完成，使得每个周期均可以输出⼀个乘法结果，同时基于流水线技术对长组合逻辑路径进行切割以使电路达到更高的工作频率，具体的电路实现结构如下图所示。

+

图片

4.3 加速器架构设计

在上述单元运算电路的基础上，实现高性能算法加速器的另一个关键在于设计一个高效的电路架构，即如何组织好每一个运算器，最大化每个单元的利用率

由本文第二部分的介绍可知，TRIDENT 所加速的 Filecoin Poseidon 哈希实例的输入为个有限域元素，每个元素的位宽为 255 比特。具体的计算流程由

RF 次 Full Round 循环和 RP 次 Partial Round 循环组成。两种循环的计算流程基本相似，都依次包括 AddRoundConstant、SBox 和 MDSMixing 三个阶段，在这三个阶段分别完成常数模加、五次方模幂和向量—矩阵乘法，两者唯一的区别在于 Partial Round 在 Sbox 阶段只需要完成中间状态第一个元素的计算。Full Round 和 Partial Round 每次循环/迭代的计算流程如下图(a)和(b)所示。如果将 Poseidon 哈希函数的所有循环都依次展开，可以将其看成是一条单向的数据流，在该数据流上不断地进行模加、模幂和矩阵运算。

-

图片

-

基于上述算法流程的定义，本次课题中实现的 Poseidon 加速器的具体硬件架构如下图所示。在 Poseidon 单次迭代的算法流程的基础上, 加速器的实现针对具体的 FPGA 架构特点和硬件资源限制做了如下几点优化：

图片

+

基于上述算法流程的定义，本次课题中实现的 Poseidon 加速器的具体硬件架构如下图所示。在 Poseidon 单次迭代的算法流程的基础上, 加速器的实现针对具体的 FPGA 架构特点和硬件资源限制做了如下几点优化：

+

图片

  • 流水线处理:
@@ -252,17 +252,17 @@ const i="/zh-cn/assets/image1-9e1613a7.png",o="/zh-cn/assets/image2-7b7b20fc.png

在上文中介绍的 FPGA 硬件系统和其中 Poseidon 加速器 IP 的基础上，我们通过 Vivado 集成开发环境将其实现在了 Varium C1100 FPGA 加速卡上，该板卡搭载了 Xilinx Virtex UltraScale+系列的 FPGA 芯片，具体芯片型号为具体型号为 XCU55N-FSVH2892-2L-E。整个硬件系统实现(Implementation)后的报告以及计算性能的测试结果如下：

5.1 Vivado Implementation 报告

整体硬件加速系统综合实现后逻辑资源消耗情况如下表所示：

-

图片

+

图片

各项 FPGA 资源中 DSP Slices(70.01%)和 LUT(61.15%)的消耗最多, 主要用于 255-Bit Montgomery 模乘电路的实现上。这两项资源的不足也限制了在加速器中配置更多模乘器来提升计算并行度和整体的加速性能。

在时序上，实现(Implementation)后 Poseidon 加速器刚好能够满足 100MHz 工作频率的要求。关键路径上，建立(set up)时间的余量为 0.069ns，保持(hold)时间的余量为 0.01ns。

除了资源和时序外，FPGA 实现后的功耗信息如下图所示。由下图可见，在运行我们设计的加速器硬件时，FPGA 芯片的整体功耗在 24.7W 左右。而我们在性能测试中使用的 RTX 3070 GPU 加速卡的运行功耗在 120W 左右。

-

图片

+

图片

###　 5.2 计算性能测试

TRIDENT 项目中设计了两种方式测试 Poseidon 加速器的计算性能：

  1. C 语言程序测试结果：在 Xilinx 提供的 XDMA 驱动的基础上使用 C 语言编写简单的性能测试程序。该测试程序向 FPGA 加速器写入一定数量的输入数据，并记录加速器完成所有数据哈希运算所需要的时间。基于该测试程序，我们分别测试了 Poseidon 加速器在三种长度输入数据下的性能表现。当输入数据的大小为 arity2, 即中间状态向量元素个数 时，加速器在 0.877 秒内完成了 850000 次的哈希运算，数据吞吐率可达到 29.1651MB/s, 即每秒大约能够完成 1M 次哈希运算
-

图片

+

图片

  1. Lotus-Bench 测试结果：Lotus 中提供了计算机硬件在 Filecoin 计算负载下性能表现的基准测试程序 Lotus-Bench；与自己实现的 C 语言测试程序相比，Lotus-Bench 的测试更加接近实际的工作负载，能够得到更加准确的测试结果。在 Lotus-Bench 的基础上，我们分别测试了 CPU, GPU 和 FPGA 在 preCommit 阶段(该阶段主要完成 Poseidon 哈希函数的计算)处理 512MB 数据所需要的时间。FPGA 在 Lotus-Bench 测试下的算力可达到 15.65MB/s，大约是 AMD Ryzen 5900X CPU 实现的 2 倍，但和 RTX 3070 GPU 的加速性能相比仍有很大的提升空间.
@@ -278,4 +278,4 @@ const i="/zh-cn/assets/image1-9e1613a7.png",o="/zh-cn/assets/image2-7b7b20fc.png

  • 优化加速器架构：由于需要适配 Filecoin Poseidon 计算实例中不同大小的输入数据，目前在输入较小的情况下加速器中存在一些冗余的运算单元。通过进一步优化加速器的整体架构，使得在不同长度的输入数据下，所有运算单元都能得到更好的利用，能够进一步提升整体的加速性能。

    • -`;export{A as assetURLs,L as default,T as metadata,u as toc}; +`;export{A as assetURLs,T as default,u as metadata,C as toc}; diff --git a/zh-cn/assets/index-047539e4.js b/zh-cn/assets/index-7676f6f7.js similarity index 95% rename from zh-cn/assets/index-047539e4.js rename to zh-cn/assets/index-7676f6f7.js index 333cd8a..596062c 100644 --- a/zh-cn/assets/index-047539e4.js +++ b/zh-cn/assets/index-7676f6f7.js @@ -1,4 +1,4 @@ -const o="/zh-cn/assets/cover-9c53ea5f.png",t="/zh-cn/assets/imgae1-084eb861.jpg",e=[o,t],n={label:"硬件敏捷开发与验证方法学研讨",description:"作为2022年第二届RISC-V中国峰会的同期活动，8月27日下午，达坦科技将在线上举办硬件敏捷开发与验证方法学研讨。",cover:"./cover.png",location:"新加坡",date:"2022-08-23",title:"Hardware Agile Development and Verification Methodology Workshop"},s=[],l=`

    作为 2022 年第二届 RISC-V 中国峰会的同期活动，8 月 27 日下午，达坦科技将在线上举办硬件敏捷开发与验证方法学研讨。

    +const o="/zh-cn/assets/cover-9c53ea5f.png",t="/zh-cn/assets/imgae1-084eb861.jpg",e=[o,t],n={label:"硬件敏捷开发与验证方法学研讨",description:"作为2022年第二届RISC-V中国峰会的同期活动，8月27日下午，达坦科技将在线上举办硬件敏捷开发与验证方法学研讨。",cover:"./cover.png",location:"新加坡",date:"2022-08-23",title:"Hardware Agile Development and Verification Methodology Workshop"},s=[],c=`

    作为 2022 年第二届 RISC-V 中国峰会的同期活动，8 月 27 日下午，达坦科技将在线上举办硬件敏捷开发与验证方法学研讨。

    如何提升数字芯片的开发和验证效率一直是业界关注的焦点。近年来随着 Chisel、SpinalHDL 等等一众新一代 HDL 的推出，业界逐步感受到新一代 HDL 在数字芯片设计效率方面的提升。相比 Verilog 和 VHDL，这些新一代 HDL 在语法表达能力、代码简洁程度、错误检查等方面有不小的提升；相比高阶综合 HLS，这些新一代 HDL 支持 RTL 级描述能力，在芯片性能的把控方面远超 HLS。此外，基于 Python，以 Cocotb 和 pyuvm 为代表的新一代验证框架的推出，使得验证的周期得到一定程度的缩减，特别是基于 Python 的验证框架可以复用 Python 生态丰富的已有工具和模型，大大减少了 Golden Reference 的工作量。

    更重要的是，这些新一代 HDL 打开了全新的数字芯片敏捷设计和验证的方法学大门。本次研讨将邀请业界多位专家分享他们在各自领域的硬件敏捷开发与验证实践经验，为业界提供一次深入探讨和交流的机会，促进硬件敏捷开发与验证方法学的发展与落地。

    参与本次研讨的听众可以深入了解业界关于硬件敏捷开发与验证的最前沿探索，诸如：

    @@ -11,4 +11,4 @@ const o="/zh-cn/assets/cover-9c53ea5f.png",t="/zh-cn/assets/imgae1-084eb861.jpg"

    活动时间：8 月 27 日，13:15-17:15
    活动链接：https://t.elecfans.com/live/2113.html
    感兴趣的听众可以添加海报中的群主二维码加入讨论群，添加时请注明硬件敏捷开发和验证方法学研讨。

    -

    图片

    `;export{e as assetURLs,l as default,n as metadata,s as toc}; +

    图片

    `;export{e as assetURLs,c as default,n as metadata,s as toc}; diff --git a/zh-cn/assets/index-eb1ecfd7.js b/zh-cn/assets/index-78a34e98.js similarity index 92% rename from zh-cn/assets/index-eb1ecfd7.js rename to zh-cn/assets/index-78a34e98.js index ab04b63..aa88b97 100644 --- a/zh-cn/assets/index-eb1ecfd7.js +++ b/zh-cn/assets/index-78a34e98.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-3674aa81.jpg",e=[t],s={label:"Rust唠嗑室：Xline跨数据中心一致性管理",description:"2022年10月15日，达坦科技和Rust语言中文社区合作，在Rust唠嗑室活动中，由达坦科技（DatenLord）联合创始人施继成做了关于开源分布式存储技术的分享，着重介绍了达坦科技新的开源项目Xline，这一跨云的metadata(元数据)KV存储的产品是如何实现高性能跨数据中心的数据一致性管理的",cover:"./cover.jpg",location:"香港",date:"2022-10-20",title:"Rust Chatterbox: Xline Cross Data Center Consistency Management"},n=[{label:"内容介绍",level:2}],a=`

    封面

    +const t="/zh-cn/assets/cover-3674aa81.jpg",e=[t],s={label:"Rust唠嗑室：Xline跨数据中心一致性管理",description:"2022年10月15日，达坦科技和Rust语言中文社区合作，在Rust唠嗑室活动中，由达坦科技（DatenLord）联合创始人施继成做了关于开源分布式存储技术的分享，着重介绍了达坦科技新的开源项目Xline，这一跨云的metadata(元数据)KV存储的产品是如何实现高性能跨数据中心的数据一致性管理的",cover:"./cover.jpg",location:"香港",date:"2022-10-20",title:"Rust Chatterbox: Xline Cross Data Center Consistency Management"},a=[{label:"内容介绍",level:2}],n=`

    封面

    2022 年 10 月 15 日，达坦科技和 Rust 语言中文社区合作，在 Rust 唠嗑室活动中，由达坦科技（DatenLord）联合创始人施继成做了关于开源分布式存储技术的分享，着重介绍了达坦科技新的开源项目 Xline，这一跨云的 metadata(元数据)KV 存储的产品是如何实现高性能跨数据中心的数据一致性管理的。

    内容介绍

    -

    施继成首先介绍了做Xline这个产品的动机。最初2021年UCBerkeley 提出了Sky Computing（“天空计算”）的概念。与我们都熟知的cloud computing（“云计算”）不同的是，sky computing，如其表面意义所讲，是天空中有很多的云，是解决跨云的问题。如何打破不同云之间的隔阂，或者打通和最大化利用跨云数据是当前面临的一个难题，也是我们的目标所在。如今谈论云计算时，我们不需要考虑云资源的部署，可扩展性等问题，因为云厂商已经都帮忙做了。但是，一旦跨云，则无论算力的迁移，或数据的迁移，都是摆在我们眼前要攻克的难题。达坦科技在做的就是解决“如何做跨云数据交互”的问题，我们致力于将分布式系统从数据中心范围扩散至全球范围，这样即使单个数据中心宕机，却仍不影响用户使用数据。

    `;export{e as assetURLs,a as default,s as metadata,n as toc}; +

    施继成首先介绍了做Xline这个产品的动机。最初2021年UCBerkeley 提出了Sky Computing（“天空计算”）的概念。与我们都熟知的cloud computing（“云计算”）不同的是，sky computing，如其表面意义所讲，是天空中有很多的云，是解决跨云的问题。如何打破不同云之间的隔阂，或者打通和最大化利用跨云数据是当前面临的一个难题，也是我们的目标所在。如今谈论云计算时，我们不需要考虑云资源的部署，可扩展性等问题，因为云厂商已经都帮忙做了。但是，一旦跨云，则无论算力的迁移，或数据的迁移，都是摆在我们眼前要攻克的难题。达坦科技在做的就是解决“如何做跨云数据交互”的问题，我们致力于将分布式系统从数据中心范围扩散至全球范围，这样即使单个数据中心宕机，却仍不影响用户使用数据。

    `;export{e as assetURLs,n as default,s as metadata,a as toc}; diff --git a/zh-cn/assets/index-04adf0e9.js b/zh-cn/assets/index-7df3558a.js similarity index 93% rename from zh-cn/assets/index-04adf0e9.js rename to zh-cn/assets/index-7df3558a.js index 7971ebf..faf9950 100644 --- a/zh-cn/assets/index-04adf0e9.js +++ b/zh-cn/assets/index-7df3558a.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-9c53ea5f.png",n="/zh-cn/assets/image1-52cf1c3c.jpg",s="/zh-cn/assets/image1-0a18e154.png",o=[t,n,s],a={label:"SpinalHDL应用前景探索线上研讨会",description:"新一代硬件描述语言SpinalHDL的发明人Charles Papon说，SpinalHDL始于2014年，最初是作为VHDL/Verilog的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注，那么SpinalHDL有哪些最新的进展和落地实践呢？",cover:"./cover.png",location:"中国香港",date:"2022-12-08",title:"SpinalHDL Application Prospect Exploration Online Seminar"},p=[{label:"线上研讨会",level:2}],r=`

    新一代硬件描述语言 SpinalHDL 的发明人 Charles Papon 说，SpinalHDL 始于 2014 年，最初是作为 VHDL/Verilog 的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注，那么 SpinalHDL 有哪些最新的进展和落地实践呢？

    +const s="/zh-cn/assets/cover-9c53ea5f.png",n="/zh-cn/assets/image1-52cf1c3c.jpg",t="/zh-cn/assets/image1-0a18e154.png",o=[s,n,t],a={label:"SpinalHDL应用前景探索线上研讨会",description:"新一代硬件描述语言SpinalHDL的发明人Charles Papon说，SpinalHDL始于2014年，最初是作为VHDL/Verilog的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注，那么SpinalHDL有哪些最新的进展和落地实践呢？",cover:"./cover.png",location:"中国香港",date:"2022-12-08",title:"SpinalHDL Application Prospect Exploration Online Seminar"},p=[{label:"线上研讨会",level:2}],r=`

    新一代硬件描述语言 SpinalHDL 的发明人 Charles Papon 说，SpinalHDL 始于 2014 年，最初是作为 VHDL/Verilog 的替代而做的创新尝试，伴随着数年来开源硬件设计的蓬勃发展，基于开源技术的硬件设计方法和范式逐渐受到业界的关注，那么 SpinalHDL 有哪些最新的进展和落地实践呢？

    线上研讨会

    达坦科技（DatenLord） 致力于打造高性能跨云存储，其通过软硬件深度融合的方式打破云之间的壁垒，实现高性能跨云数据访问，提供海量异地、异构数据的统一存储访问机制，为云上应用提供高性能安全存储支持。达坦科技采用硬件加速提升存储性能，目前采用 FPGA、ASIC 实现存储相关场景的性能加速。SpinalHDL 是达坦科技在产品中使用的硬件描述语言之一，达坦科技也一直热心于推广 SpinalHDL 在业界的落地应用。

    为了让对开源硬件感兴趣的朋友进一步了解 SpinalHDL，在北京时间 2022 年 12 月 16 日下午 17:00-21:00，达坦科技联合 SpinalHDL 社区举办一场题为《SpinalHDL 应用前景探索》的线上研讨会（Webinar），本研讨会分三个讨论分主题，分别为：数据通路加速（Datapath/Accelerations）、复杂系统设计案例（Design）、硬件设计流程 （Flow）。

    @@ -11,4 +11,4 @@ const t="/zh-cn/assets/cover-9c53ea5f.png",n="/zh-cn/assets/image1-52cf1c3c.jpg" 会议号：830 6630 7799
    密码：1216

    对开源硬件感兴趣的朋友，可以添加小助手微信，加入达坦科技硬件群。

    -

    图片

    `;export{o as assetURLs,r as default,a as metadata,p as toc}; +

    图片

    `;export{o as assetURLs,r as default,a as metadata,p as toc}; diff --git a/zh-cn/assets/index-1959a67e.js b/zh-cn/assets/index-88018b5c.js similarity index 95% rename from zh-cn/assets/index-1959a67e.js rename to zh-cn/assets/index-88018b5c.js index f909e8b..8b2fbd2 100644 --- a/zh-cn/assets/index-1959a67e.js +++ b/zh-cn/assets/index-88018b5c.js @@ -1,4 +1,4 @@ -const i="/zh-cn/assets/cover-964a3e23.png",e="/zh-cn/assets/image1-c300ce2e.png",n="/zh-cn/assets/image2-b3df764b.png",l="/zh-cn/assets/image3-6b1d2584.png",s="/zh-cn/assets/image4-034a33e9.png",t="/zh-cn/assets/image5-6a5e807d.png",o=[i,e,n,l,s,t],r={label:"达坦科技2023开源毕业设计实习招募中",description:"自1984年Richard Stallman发起GMU和Free Software Foundation，开源作为一种全新的软件开发和使用模式正式诞生。One for All, All for One的理念传播开后，之后的40年里在开源软件社区被无数开发者实践和传承。开源软件因其节省费用（不需要购买许可证，大大降低了IT投入成本）、安全稳定（安全漏洞少）、技术成熟、个性化定制、自主知识产权等优势获得喜人的发展，由此我们也见证了无数开源软件项目的成长和成熟",cover:"./cover.png",location:"海南",date:"2023-01-06",title:"Datan Technology 2023 Open Source Graduation Design Internship Recruitment"},a=[{label:"毕设项目的背景",level:2},{label:"细分方向",level:2},{label:"开源毕设导师组",level:2},{label:"开源毕设项目的流程",level:2},{label:"申请流程",level:2}],p=`

    自 1984 年 Richard Stallman 发起 GMU 和 Free Software Foundation，开源作为一种全新的软件开发和使用模式正式诞生。One for All, All for One 的理念传播开后，之后的 40 年里在开源软件社区被无数开发者实践和传承。开源软件因其节省费用（不需要购买许可证，大大降低了 IT 投入成本）、安全稳定（安全漏洞少）、技术成熟、个性化定制、自主知识产权等优势获得喜人的发展，由此我们也见证了无数开源软件项目的成长和成熟

    +const t="/zh-cn/assets/cover-964a3e23.png",e="/zh-cn/assets/image1-c300ce2e.png",n="/zh-cn/assets/image2-b3df764b.png",l="/zh-cn/assets/image3-6b1d2584.png",s="/zh-cn/assets/image4-034a33e9.png",i="/zh-cn/assets/image5-6a5e807d.png",o=[t,e,n,l,s,i],p={label:"达坦科技2023开源毕业设计实习招募中",description:"自1984年Richard Stallman发起GMU和Free Software Foundation，开源作为一种全新的软件开发和使用模式正式诞生。One for All, All for One的理念传播开后，之后的40年里在开源软件社区被无数开发者实践和传承。开源软件因其节省费用（不需要购买许可证，大大降低了IT投入成本）、安全稳定（安全漏洞少）、技术成熟、个性化定制、自主知识产权等优势获得喜人的发展，由此我们也见证了无数开源软件项目的成长和成熟",cover:"./cover.png",location:"海南",date:"2023-01-06",title:"Datan Technology 2023 Open Source Graduation Design Internship Recruitment"},r=[{label:"毕设项目的背景",level:2},{label:"细分方向",level:2},{label:"开源毕设导师组",level:2},{label:"开源毕设项目的流程",level:2},{label:"申请流程",level:2}],a=`

    自 1984 年 Richard Stallman 发起 GMU 和 Free Software Foundation，开源作为一种全新的软件开发和使用模式正式诞生。One for All, All for One 的理念传播开后，之后的 40 年里在开源软件社区被无数开发者实践和传承。开源软件因其节省费用（不需要购买许可证，大大降低了 IT 投入成本）、安全稳定（安全漏洞少）、技术成熟、个性化定制、自主知识产权等优势获得喜人的发展，由此我们也见证了无数开源软件项目的成长和成熟

    图片

    相比而言，硬件开源之路更为崎岖。因为对物理器件的依赖度更高，复杂度更高，修改难度大，硬件开源之路走得比较缓慢。虽然是一条少有人走的路，但其正确性毋庸置疑。开源芯片生态（Open Source Chip Ecosystem-OSCE）的优势,包括可以节约市场化时间，以及知识产权的成本，EDA 工具、设施和劳动力。硬件开发者也期盼硬件设计可以像软件设计一样简单。

    图片

    @@ -46,4 +46,4 @@ const i="/zh-cn/assets/cover-964a3e23.png",e="/zh-cn/assets/image1-c300ce2e.png"

    欢迎您预约直播，或者登陆腾讯会议观看直播：

    图片

    对开源毕设感兴趣的朋友，欢迎添加小助手微信，加入达坦科技开源毕设群。

    -

    图片

    `;export{o as assetURLs,p as default,r as metadata,a as toc}; +

    图片

    `;export{o as assetURLs,a as default,p as metadata,r as toc}; diff --git a/zh-cn/assets/index-a520ffab.js b/zh-cn/assets/index-89698b14.js similarity index 86% rename from zh-cn/assets/index-a520ffab.js rename to zh-cn/assets/index-89698b14.js index a71db4d..8ef61af 100644 --- a/zh-cn/assets/index-a520ffab.js +++ b/zh-cn/assets/index-89698b14.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-ccfdc2fa.jpg",e="/zh-cn/assets/image1-9be7272d.jpg",s="/zh-cn/assets/image2-20a7bcaa.jpg",a=[t,e,s],n={label:"DatenLord X Segmentfault直播预告 | CURP协议的工业化实践",description:"传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord推出开源的分布式KV存储Xline，针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性，方便业务系统实现多地多中心多活部署。",cover:"./cover.jpg",location:"新加坡",date:"2023-08-15",title:"DatenLord X Segmentfault Live Stream Preview l CURP Protocol in Industrial Practice"},o=[{label:"CURP 协议",level:2}],c=`

    图片

    +const t="/zh-cn/assets/cover-ccfdc2fa.jpg",e="/zh-cn/assets/image1-9be7272d.jpg",a="/zh-cn/assets/image2-20a7bcaa.jpg",n=[t,e,a],o={label:"DatenLord X Segmentfault直播预告 | CURP协议的工业化实践",description:"传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord推出开源的分布式KV存储Xline，针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性，方便业务系统实现多地多中心多活部署。",cover:"./cover.jpg",location:"新加坡",date:"2023-08-15",title:"DatenLord X Segmentfault Live Stream Preview l CURP Protocol in Industrial Practice"},s=[{label:"CURP 协议",level:2}],c=`

    图片

    CURP 协议

    传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord 推出开源的分布式 KV 存储 Xline，针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性，方便业务系统实现多地多中心多活部署。

    Xline 中所使用的共识协议，即非 Paxos ，也非 Raft，而是一种新的名为 Curp 的共识协议，其全称为 “Consistent Unordered Replication Protocol”。CURP 协议发表于 2019 年，其协议主要论述的是主从备份的场景，共识场景仅仅在附录中有简单表述，缺乏严肃验证。

    @@ -6,4 +6,4 @@ const t="/zh-cn/assets/cover-ccfdc2fa.jpg",e="/zh-cn/assets/image1-9be7272d.jpg"

    本次直播分享，达坦科技联合思否，邀请达坦科技的联合创始人兼 CTO 施继成做一个关于 CURP 协议的工业化实践的直播，分享将论述 CURP 协议的正确性，同时以 KV 存储软件 Xline 为例子讲述如何在工业产品中使用该共识算法。

    图片

    会议号：474-6575-9473

    -

    图片

    `;export{a as assetURLs,c as default,n as metadata,o as toc}; +

    图片

    `;export{n as assetURLs,c as default,o as metadata,s as toc}; diff --git a/zh-cn/assets/index-1f0dff83.js b/zh-cn/assets/index-8bcfd31b.js similarity index 95% rename from zh-cn/assets/index-1f0dff83.js rename to zh-cn/assets/index-8bcfd31b.js index 6d0e7ca..2b93648 100644 --- a/zh-cn/assets/index-1f0dff83.js +++ b/zh-cn/assets/index-8bcfd31b.js @@ -1,4 +1,4 @@ -const n="/zh-cn/assets/cover-dcd7e2ce.jpeg",t="/zh-cn/assets/image1-3ae2277f.jpg",s="/zh-cn/assets/image1-0a18e154.png",e=[n,t,s],o={label:"分布式实验室直播 | 共识算法与跨数据中心一致性的元数据管理",description:"在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。",cover:"./cover.jpeg",location:"海南",date:"2023-02-01",title:"Consensus Algorithms and Metadata Management for Cross Data Center Consistency"},r=[],i=`

    在 2021 年时，UC Berkeley 提出了 天空计算（Sky Computing） 的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。 Xline 是一款开源分布式 kv 存储系统， 基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现

    +const n="/zh-cn/assets/cover-dcd7e2ce.jpeg",t="/zh-cn/assets/image1-3ae2277f.jpg",s="/zh-cn/assets/image1-0a18e154.png",e=[n,t,s],o={label:"分布式实验室直播 | 共识算法与跨数据中心一致性的元数据管理",description:"在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。",cover:"./cover.jpeg",location:"海南",date:"2023-02-01",title:"Consensus Algorithms and Metadata Management for Cross Data Center Consistency"},r=[],a=`

    在 2021 年时，UC Berkeley 提出了 天空计算（Sky Computing） 的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。 Xline 是一款开源分布式 kv 存储系统， 基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现

    本周四（2 月 2 日）晚上 8 点，达坦科技和分布式实验室合作，由达坦科技 Rust 分布式存储工程师赵佳炜讲述共识算法与跨数据中心一致性的元数据管理，并介绍 Xline 是如何实现高性能跨数据中心的数据一致性管理。

    图片

    直播亮点：

    @@ -11,4 +11,4 @@ const n="/zh-cn/assets/cover-dcd7e2ce.jpeg",t="/zh-cn/assets/image1-3ae2277f.jpg

    请添加分布式实验室小助手的微信，报名参与直播：

    图片

    达坦科技（DatenLord）推出的开源分布式 KV 存储 Xline，针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并保证数据的一致性，方便业务系统实现多地多中心多活部署。

    -

    GitHub 链接：https://github.com/xline-kv/

    `;export{e as assetURLs,i as default,o as metadata,r as toc}; +

    GitHub 链接：https://github.com/xline-kv/

    `;export{e as assetURLs,a as default,o as metadata,r as toc}; diff --git a/zh-cn/assets/index-b77795ad.js b/zh-cn/assets/index-8bf3af0a.js similarity index 98% rename from zh-cn/assets/index-b77795ad.js rename to zh-cn/assets/index-8bf3af0a.js index 3d97017..65c7fd8 100644 --- a/zh-cn/assets/index-b77795ad.js +++ b/zh-cn/assets/index-8bf3af0a.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/cover-6865ae02.png",l="/zh-cn/assets/image1-1421d5c3.png",t="/zh-cn/assets/image2-03115587.png",i="/zh-cn/assets/image3-8a8d1c33.png",a="/zh-cn/assets/image4-c1593056.png",s=[e,l,t,i,a],p={label:"Xline 源码解读（一） —— 初识 CURP 协议",description:"Xline 是一款开源的分布式 KV 存储引擎，其核心目的是实现高性能的跨数据中心强一致性，提供跨数据中心的meatdata 管理。那么 Xline 是怎么实现这种高性能的跨数据中心强一致性的呢？这篇文章就将带领大家一起来一探究竟。",cover:"./cover.png",location:"中国香港",author:["赵佳炜"],tags:["Xline"],date:"2023-07-13",title:"Interpretation of Xline source code (1)——Introduction to CURP protocol"},n=[{label:"Xline 是什么",level:2},{label:"Xline 的整体架构",level:2},{label:"CURP 协议简介",level:2},{label:"CURP 是什么？",level:3},{label:"为什么选择 CURP 协议",level:3},{label:"fast path 与 slow path",level:3},{label:"Summary",level:2}],r=`

    封面

    +const e="/zh-cn/assets/cover-6865ae02.png",l="/zh-cn/assets/image1-1421d5c3.png",t="/zh-cn/assets/image2-03115587.png",i="/zh-cn/assets/image3-8a8d1c33.png",a="/zh-cn/assets/image4-c1593056.png",p=[e,l,t,i,a],s={label:"Xline 源码解读（一） —— 初识 CURP 协议",description:"Xline 是一款开源的分布式 KV 存储引擎，其核心目的是实现高性能的跨数据中心强一致性，提供跨数据中心的meatdata 管理。那么 Xline 是怎么实现这种高性能的跨数据中心强一致性的呢？这篇文章就将带领大家一起来一探究竟。",cover:"./cover.png",location:"中国香港",author:["赵佳炜"],tags:["Xline"],date:"2023-07-13",title:"Interpretation of Xline source code (1)——Introduction to CURP protocol"},n=[{label:"Xline 是什么",level:2},{label:"Xline 的整体架构",level:2},{label:"CURP 协议简介",level:2},{label:"CURP 是什么？",level:3},{label:"为什么选择 CURP 协议",level:3},{label:"fast path 与 slow path",level:3},{label:"Summary",level:2}],r=`

    封面

    Xline 是什么

    Xline 是一款开源的分布式 KV 存储引擎，其核心目的是实现高性能的跨数据中心强一致性，提供跨数据中心的 meatdata 管理。那么 Xline 是怎么实现这种高性能的跨数据中心强一致性的呢？这篇文章就将带领大家一起来一探究竟。

    Xline 的整体架构

    @@ -77,4 +77,4 @@ b. follower 接收到请求后，由于 z = 9 与 witness 中的 z = 7 相冲突

    Xline 是一款提供跨数据中心强一致性的分布式 KV 存储，其核心问题之一便是如何在跨数据中心这种高延迟的广域网环境中提供高性能的强一致性保证。传统的分布式共识算法，如 Raft 和 Multi-Paxos，通过让所有操作都满足持久化存储和有序性前提来保证状态机一致性。而 CURP 协议则是对达成共识的场景做了更细粒度的划分，将协议分割成了前端（fast path）和后端（slow path），前端只保证了提案会被持久化到集群当中，而后端不仅保证了持久化，也保证了所有保存了该提案的节点会按照相同的顺序执行命令，保证了状态机的一致性。

    关于 CURP 协议的简介就到这里，更多的细节欢迎参考我们的其他文章和分享，如下：
    Curp 共识协议的重新思考

    -

    DatenLord | Xline Geo-distributed KV Storage

    `;export{s as assetURLs,r as default,p as metadata,n as toc}; +

    DatenLord | Xline Geo-distributed KV Storage

    `;export{p as assetURLs,r as default,s as metadata,n as toc}; diff --git a/zh-cn/assets/index-6f8e9292.js b/zh-cn/assets/index-8f9dd2a8.js similarity index 89% rename from zh-cn/assets/index-6f8e9292.js rename to zh-cn/assets/index-8f9dd2a8.js index 44f0b15..9594d14 100644 --- a/zh-cn/assets/index-6f8e9292.js +++ b/zh-cn/assets/index-8f9dd2a8.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/image1-3ae2277f.jpg",e="/zh-cn/assets/image1-0a18e154.png",a=[t,e],n={label:"分布式实验室直播 | 共识算法与跨数据中心一致性的元数据管理",description:"在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。",location:"中国海南",tags:["Xline"],date:"2023-02-01",title:"Distributed laboratory live broadcast l Consensus algorithm and consistent metadata management across data centers"},s=[],i=`

    在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。

    +const t="/zh-cn/assets/image1-3ae2277f.jpg",a="/zh-cn/assets/image1-0a18e154.png",s=[t,a],e={label:"分布式实验室直播 | 共识算法与跨数据中心一致性的元数据管理",description:"在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。",location:"中国海南",tags:["Xline"],date:"2023-02-01",title:"Distributed laboratory live broadcast l Consensus algorithm and consistent metadata management across data centers"},i=[],n=`

    在 2021 年时，UC Berkeley 提出了天空计算（Sky Computing）的概念。所谓天空计算是云平台上的一层，其目标是打通彼此孤立的云，将分布式系统从数据中心范围扩展到全球范围。Xline 是一款开源分布式 kv 存储系统，基于 curp 共识算法实现，旨在提供跨云元数据管理功能。相比于传统共识协议 Raft 或 Paxos，curp 在天空计算的场景中有着更好的性能表现。

    本周四（2 月 2 日）晚上 8 点，达坦科技和分布式实验室合作，由达坦科技 Rust 分布式存储工程师赵佳炜讲述共识算法与跨数据中心一致性的元数据管理，并介绍 Xline 是如何实现高性能跨数据中心的数据一致性管理。

    图片

    直播亮点：

    @@ -9,6 +9,6 @@ const t="/zh-cn/assets/image1-3ae2277f.jpg",e="/zh-cn/assets/image1-0a18e154.png
  • Xline 接下来的优化方向。

    • 请添加分布式实验室小助手的微信，报名参与直播：

    -

    图片

    +

    图片

    达坦科技（DatenLord）推出的开源分布式 KV 存储 Xline，针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并保证数据的一致性，方便业务系统实现多地多中心多活部署。

    -

    GitHub 链接：https:github.com/datenlord/Xline

    `;export{a as assetURLs,i as default,n as metadata,s as toc}; +

    GitHub 链接：https:github.com/datenlord/Xline

    `;export{s as assetURLs,n as default,e as metadata,i as toc}; diff --git a/zh-cn/assets/index-696ef44a.js b/zh-cn/assets/index-a154d453.js similarity index 98% rename from zh-cn/assets/index-696ef44a.js rename to zh-cn/assets/index-a154d453.js index cc57ed1..0e9d7ef 100644 --- a/zh-cn/assets/index-696ef44a.js +++ b/zh-cn/assets/index-a154d453.js @@ -1,4 +1,4 @@ -const t="/zh-cn/assets/cover-cf0f8eeb.png",e=[t],a={label:"第二届硬件敏捷开发与方法学研讨会 l 2023 RISC-V中国峰会同期活动顺利举办",description:"作为2023RISC-V中国峰会的同期活动，8月25日下午，达坦科技成功在线上举办第二届硬件敏捷开发与验证方法学研讨。长达三小时的就新一代HDL在数字芯片设计开发和验证效率方面的实践经验分享，究竟碰撞出了什么新的火花呢？下面我们一起来回顾研讨会的精彩内容。",cover:"./cover.png",location:"中国香港",date:"2023-09-07",title:"The 2nd Hardware Agile Development and Methodology Workshop l 2023 RISC V China Summit Concurrent Events Successfully Held"},l=[{label:"Part.1",level:2},{label:"Part.2",level:2},{label:"Part.3",level:2},{label:"Part.4",level:2},{label:"Part.5",level:2},{label:"Part.6",level:2},{label:"结束语",level:2}],r=`

    图片

    +const t="/zh-cn/assets/cover-cf0f8eeb.png",e=[t],a={label:"第二届硬件敏捷开发与方法学研讨会 l 2023 RISC-V中国峰会同期活动顺利举办",description:"作为2023RISC-V中国峰会的同期活动，8月25日下午，达坦科技成功在线上举办第二届硬件敏捷开发与验证方法学研讨。长达三小时的就新一代HDL在数字芯片设计开发和验证效率方面的实践经验分享，究竟碰撞出了什么新的火花呢？下面我们一起来回顾研讨会的精彩内容。",cover:"./cover.png",location:"中国香港",date:"2023-09-07",title:"The 2nd Hardware Agile Development and Methodology Workshop l 2023 RISC V China Summit Concurrent Events Successfully Held"},l=[{label:"Part.1",level:2},{label:"Part.2",level:2},{label:"Part.3",level:2},{label:"Part.4",level:2},{label:"Part.5",level:2},{label:"Part.6",level:2},{label:"结束语",level:2}],p=`

    图片

    作为2023RISC-V中国峰会的同期活动，8月25日下午，达坦科技成功在线上举办第二届硬件敏捷开发与验证方法学研讨会。长达三小时的就新一代HDL在数字芯片设计开发和验证效率方面的实践经验分享，究竟碰撞出了什么新的火花呢？下面我们一起来回顾研讨会的精彩内容。

    Part.1

    《RISC-V敏捷硬件开发-软件定义芯片》

    @@ -19,4 +19,4 @@ const t="/zh-cn/assets/cover-cf0f8eeb.png",e=[t],a={label:"第二届硬件敏捷

    《MetaHVL硬件敏捷验证与协同仿真》

    华南理工大学计算机学院副教授赖晓铮的分享主题是《MetaHVL硬件敏捷验证与协同仿真》。赖老师从芯片设计的规模和芯片设计的成本是不成比例（规模是线性提升，成本是指数提升）的现状出发，提出硬件设计的流程有更敏捷的需求。而敏捷是包含设计和验证两个维度的全流程敏捷。他分享了运用创新EDA方法学和工具以进一步分离设计与实现；此外，提高设计抽象层次的同时，也需要提高验证的抽象层次。赖老师介绍了他在Meta-HVL项目研究的中期结论，即小规模设计的加速比明显，规模越大，DUT运行时间占比越大，则验证加速起到的作用越小。因此，时间应该花在提高验证的效率上，而不是把时间和资源花在加速验证代码的运行上。

    结束语

    -

    如何提升数字芯片的开发和验证效率一直是业界关注的焦点。新一代HDL打开了全新的数字芯片敏捷设计和验证的方法学大门。在本次研讨会上，业界和学界的各位专家分享了他们在各自领域的硬件敏捷开发与验证实践经验，希望这些前沿的探索可以为关注该领域的学习者和实践者提供一次深入探讨和交流的机会，以此进一步促进硬件敏捷开发与验证方法学的发展与落地。

    `;export{e as assetURLs,r as default,a as metadata,l as toc}; +

    如何提升数字芯片的开发和验证效率一直是业界关注的焦点。新一代HDL打开了全新的数字芯片敏捷设计和验证的方法学大门。在本次研讨会上，业界和学界的各位专家分享了他们在各自领域的硬件敏捷开发与验证实践经验，希望这些前沿的探索可以为关注该领域的学习者和实践者提供一次深入探讨和交流的机会，以此进一步促进硬件敏捷开发与验证方法学的发展与落地。

    `;export{e as assetURLs,p as default,a as metadata,l as toc}; diff --git a/zh-cn/assets/index-ffd93bc8.js b/zh-cn/assets/index-a1a1a279.js similarity index 95% rename from zh-cn/assets/index-ffd93bc8.js rename to zh-cn/assets/index-a1a1a279.js index 0305554..6149306 100644 --- a/zh-cn/assets/index-ffd93bc8.js +++ b/zh-cn/assets/index-a1a1a279.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/cover-c938ebe8.png",t="/zh-cn/assets/image1-a88ec652.jpg",s="/zh-cn/assets/image2-0d688c12.png",n=[e,t,s],r={label:"4.8 Beijing Rust Meetup | Call For Presenters",description:"如果你有兴趣参与探讨Rust作为一种强调性能、安全和并发性的编程语言的各种应用、实践和无限可能性的头脑风暴，就一定不能错过这场来自达坦科技、南京大学、CloudWeGo、华为等技术专家带来的关于Rust编程语言相关应用的线下Meetup。我们的主题是Rust💡X，意在探讨用Rust编程语言“点亮”的任何应用、实践和探索。",cover:"./cover.png",location:"中国香港",date:"2023-03-31",title:"4.8 Beijing Rust Meetup | Call For Presenters"},i=[{label:"嘉宾演讲 (Presenter & Topic)",level:2},{label:"提交议题 (Call for Presenters)",level:2},{label:"Meetup 报名方式 （Registration）",level:2}],o=`

    如果你有兴趣参与探讨 Rust 作为一种强调性能、安全和并发性的编程语言的各种应用、实践和无限可能性的头脑风暴，就一定不能错过这场来自达坦科技、南京大学、CloudWeGo、华为等技术专家带来的关于 Rust 编程语言相关应用的线下 Meetup。我们的主题是 Rust💡X，意在探讨用 Rust 编程语言“点亮”的任何应用、实践和探索。

    +const e="/zh-cn/assets/cover-c938ebe8.png",t="/zh-cn/assets/image1-a88ec652.jpg",s="/zh-cn/assets/image2-0d688c12.png",r=[e,t,s],n={label:"4.8 Beijing Rust Meetup | Call For Presenters",description:"如果你有兴趣参与探讨Rust作为一种强调性能、安全和并发性的编程语言的各种应用、实践和无限可能性的头脑风暴，就一定不能错过这场来自达坦科技、南京大学、CloudWeGo、华为等技术专家带来的关于Rust编程语言相关应用的线下Meetup。我们的主题是Rust💡X，意在探讨用Rust编程语言“点亮”的任何应用、实践和探索。",cover:"./cover.png",location:"中国香港",date:"2023-03-31",title:"4.8 Beijing Rust Meetup | Call For Presenters"},i=[{label:"嘉宾演讲 (Presenter & Topic)",level:2},{label:"提交议题 (Call for Presenters)",level:2},{label:"Meetup 报名方式 （Registration）",level:2}],o=`

    如果你有兴趣参与探讨 Rust 作为一种强调性能、安全和并发性的编程语言的各种应用、实践和无限可能性的头脑风暴，就一定不能错过这场来自达坦科技、南京大学、CloudWeGo、华为等技术专家带来的关于 Rust 编程语言相关应用的线下 Meetup。我们的主题是 Rust💡X，意在探讨用 Rust 编程语言“点亮”的任何应用、实践和探索。

    时间： 2023 年 4 月 8 日 14:00 地点： 环球财讯中心 M 层 北京市西城区宣武门外大街甲 1 号

    嘉宾演讲 (Presenter & Topic)

    @@ -31,4 +31,4 @@ const e="/zh-cn/assets/cover-c938ebe8.png",t="/zh-cn/assets/image1-a88ec652.jpg"

    Meetup 报名方式 （Registration）

    欢迎扫描下方二维码或点击阅读原文，即可报名。

    阅读原文

    -

    图片

    `;export{n as assetURLs,o as default,r as metadata,i as toc}; +

    图片

    `;export{r as assetURLs,o as default,n as metadata,i as toc}; diff --git a/zh-cn/assets/index-29c0b7ce.js b/zh-cn/assets/index-b1ba4736.js similarity index 98% rename from zh-cn/assets/index-29c0b7ce.js rename to zh-cn/assets/index-b1ba4736.js index 1b821d3..17ef944 100644 --- a/zh-cn/assets/index-29c0b7ce.js +++ b/zh-cn/assets/index-b1ba4736.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/cover-1329fc54.png",a="/zh-cn/assets/image1-b7df4899.png",s="/zh-cn/assets/image2-a77c94e1.jpg",t=[e,a,s],r={label:"计算机体系结构 | MIT Training Q&A及小贴士",description:"在2023年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。6.175和6.375的课程和Lab学习都有一定的难度，要求采用Bluespec语言实现RISC-V处理器，并支持多级流水、分支预测、缓存、异常处理、缓存一致性等功能。此外，Lab环节还涉及软硬件联合开发，要求基于所实现的RISC-V处理器运行真实的RISC-V程序，并给出性能评估。",cover:"./cover.png",location:"中国香港",author:["达坦科技"],tags:["硬件加速"],date:"2022-06-11",title:"Computer Architecture l MIT Training Q&A and Tips"},i=[{label:"MIT Training Q & A",level:2},{label:"MIT Training 小贴士",level:2},{label:"Related Resources",level:2}],c=`

    图片

    +const e="/zh-cn/assets/cover-1329fc54.png",a="/zh-cn/assets/image1-b7df4899.png",s="/zh-cn/assets/image2-a77c94e1.jpg",t=[e,a,s],r={label:"计算机体系结构 | MIT Training Q&A及小贴士",description:"在2023年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。6.175和6.375的课程和Lab学习都有一定的难度，要求采用Bluespec语言实现RISC-V处理器，并支持多级流水、分支预测、缓存、异常处理、缓存一致性等功能。此外，Lab环节还涉及软硬件联合开发，要求基于所实现的RISC-V处理器运行真实的RISC-V程序，并给出性能评估。",cover:"./cover.png",location:"中国香港",author:["达坦科技"],tags:["硬件加速"],date:"2022-06-11",title:"Computer Architecture l MIT Training Q&A and Tips"},c=[{label:"MIT Training Q & A",level:2},{label:"MIT Training 小贴士",level:2},{label:"Related Resources",level:2}],i=`

    图片

    在 2023 年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。6.175 和 6.375 的课程和 Lab 学习都有一定的难度，要求采用 Bluespec 语言实现 RISC-V 处理器，并支持多级流水、分支预测、缓存、异常处理、缓存一致性等功能。此外，Lab 环节还涉及软硬件联合开发，要求基于所实现的 RISC-V 处理器运行真实的 RISC-V 程序，并给出性能评估。

    继 MIT6.175 和 MIT6.375 学习笔记之后，我们又整理了到目前为止，硬件设计学习社区里大家碰到的一些共同问题，希望我们的回复以及学习贴士对于想啃下这两门高难度课程，并想从事数字芯片设计的工程师或同学有所帮助。

    MIT Training Q & A

    @@ -76,4 +76,4 @@ A：我目前是用 docker 做的实验，6175 的 lab1-6 和 6375 的 lab1-4

    计算机体系结构｜ MIT6.175 和 MIT6.375 学习笔记

    达坦科技硬件设计学习社区持续开放，若想询问加入细节，请添加下方小助手微信号或邮件info@datenlord.com

    -

    图片

    `;export{t as assetURLs,c as default,r as metadata,i as toc}; +

    图片

    `;export{t as assetURLs,i as default,r as metadata,c as toc}; diff --git a/zh-cn/assets/index-18b7c96f.js b/zh-cn/assets/index-bccae718.js similarity index 98% rename from zh-cn/assets/index-18b7c96f.js rename to zh-cn/assets/index-bccae718.js index 7eb4c82..b0e677f 100644 --- a/zh-cn/assets/index-18b7c96f.js +++ b/zh-cn/assets/index-bccae718.js @@ -1,4 +1,4 @@ -const p="/zh-cn/assets/image1-f1a8209b.jpg",o="/zh-cn/assets/image2-f5de5635.jpg",t=[p,o],l={label:"喷泉码浅谈",description:"喷泉码（Fountain Code）是一种在无线通信、数据传输和网络编码领域中使用的错误纠正技术。它与传统的纠错码和编码方法有所不同，喷泉码被设计用于在不确定信道条件下的高效数据传输。",location:"新疆",author:["施继成"],tags:["RDMA"],date:"2023-08-31",title:"Fountain Code"},a=[{label:"喷泉码简介",level:2},{label:"LT 编码",level:2},{label:"Raptor 算法",level:2},{label:"总结",level:2}],e=`

    喷泉码简介

    +const p="/zh-cn/assets/image1-f1a8209b.jpg",o="/zh-cn/assets/image2-f5de5635.jpg",t=[p,o],l={label:"喷泉码浅谈",description:"喷泉码（Fountain Code）是一种在无线通信、数据传输和网络编码领域中使用的错误纠正技术。它与传统的纠错码和编码方法有所不同，喷泉码被设计用于在不确定信道条件下的高效数据传输。",location:"新疆",author:["施继成"],tags:["RDMA"],date:"2023-08-31",title:"Fountain Code"},a=[{label:"喷泉码简介",level:2},{label:"LT 编码",level:2},{label:"Raptor 算法",level:2},{label:"总结",level:2}],r=`

    喷泉码简介

    **喷泉码（Fountain Code）**是一种在无线通信、数据传输和网络编码领域中使用的错误纠正技术。它与传统的纠错码和编码方法有所不同，喷泉码被设计用于在不确定信道条件下的高效数据传输。

    传统的纠错码（如海明码、RS 码等）通常需要在发送方对数据进行编码，接收方则使用相同的编码进行解码和纠错。这些方法一般具有固定的码率（Code Rate），即针对一定长度的原始数据，编码后的长度是固定的，这些方法在面对不稳定的信道或严重的信道丢失时可能效果不佳。相比之下，喷泉码通过在发送方生成随机的冗余数据，然后将其注入到原始数据中，以创造出一个“喷泉”流——相应的码率也也就不固定了。接收方可以从这个流中采样任意数量的数据包，并将它们合并以恢复原始数据。

    喷泉码的一种常见应用是在无线传感器网络中，其中网络节点之间的通信可能受到弱信号、干扰和多径传播等因素的影响。通过使用喷泉码，节点可以在较差的通信条件下实现可靠的数据传输。

    @@ -37,4 +37,4 @@ const p="/zh-cn/assets/image1-f1a8209b.jpg",o="/zh-cn/assets/image2-f5de5635.jpg

    针对 Raptor 编码的解码方式一般有两种。第一种和编码方式完全相反，首先利用 LT 编码的解码方式恢复出部分的中间编码块，然后利用固定编码的解码方式恢复出原始的数据块。第二种方式则是将上述所有的多层编码方式都变成一种矩阵运算，针对收到数据后利用矩阵的高斯消元方法解出原始的数据块。

    现有为人所熟知的 Raptor 编码主要有 RFC 5053 和 RFC 6330 RaptorQ 编码。两者的实现细节有诸多区别，但是内在的思路和上述的方法是类似的，有兴趣的读者可以进一步进行阅读和学习。

    总结

    -

    喷泉码是一种无固定码率的编码方式，其中比较著名的有 LT 编码和 Raptor 编码。LT 编码算法简单，实现也简单，但是算法效率不高。Raptor 算法结合了 LT 编码和一些固定码率编码，利用混合编码的方式实现了高效的喷泉码。

    `;export{t as assetURLs,e as default,l as metadata,a as toc}; +

    喷泉码是一种无固定码率的编码方式，其中比较著名的有 LT 编码和 Raptor 编码。LT 编码算法简单，实现也简单，但是算法效率不高。Raptor 算法结合了 LT 编码和一些固定码率编码，利用混合编码的方式实现了高效的喷泉码。

    `;export{t as assetURLs,r as default,l as metadata,a as toc}; diff --git a/zh-cn/assets/index-f6eeef5e.js b/zh-cn/assets/index-c719bd5c.js similarity index 97% rename from zh-cn/assets/index-f6eeef5e.js rename to zh-cn/assets/index-c719bd5c.js index 77dbcfc..2516e15 100644 --- a/zh-cn/assets/index-f6eeef5e.js +++ b/zh-cn/assets/index-c719bd5c.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/image1-86fdf634.png",t="/zh-cn/assets/image2-639b53e5.png",a="/zh-cn/assets/image3-c2c092f7.jpg",p=[e,t,a],s={label:"Curp 共识协议的重新思考",description:"共识协议是一种让分布式系统中多个节点保持信息一致的通信协议，即使少数节点发生故障也依然能够保证信息的准确和一致。而每当我们在讨论共识协议的时候往往会想到 classic paxos 或者 raft 协议，这两个协议是很多其他协议的基础，后续的很多协议都可以看成是它们的变种，例如Multi-Paxos 和Fast-Paxos 等等。我们今天先从这两个协议入手，先来回顾一下这两个协议是如何工作的。",location:"中国香港",tags:["Xline"],date:"2022-07-07",title:"Rethinking of the Curp Consensus Protocol"},r=[{label:"共识简介",level:2},{label:"Curp 共识协议",level:2},{label:"Curp 协议总结和讨论",level:2}],l=`

    共识简介

    +const e="/zh-cn/assets/image1-86fdf634.png",t="/zh-cn/assets/image2-639b53e5.png",a="/zh-cn/assets/image3-c2c092f7.jpg",p=[e,t,a],r={label:"Curp 共识协议的重新思考",description:"共识协议是一种让分布式系统中多个节点保持信息一致的通信协议，即使少数节点发生故障也依然能够保证信息的准确和一致。而每当我们在讨论共识协议的时候往往会想到 classic paxos 或者 raft 协议，这两个协议是很多其他协议的基础，后续的很多协议都可以看成是它们的变种，例如Multi-Paxos 和Fast-Paxos 等等。我们今天先从这两个协议入手，先来回顾一下这两个协议是如何工作的。",location:"中国香港",tags:["Xline"],date:"2022-07-07",title:"Rethinking of the Curp Consensus Protocol"},s=[{label:"共识简介",level:2},{label:"Curp 共识协议",level:2},{label:"Curp 协议总结和讨论",level:2}],l=`

    共识简介

    共识协议是一种让分布式系统中多个节点保持信息一致的通信协议，即使少数节点发生故障也依然能够保证信息的准确和一致。而每当我们在讨论共识协议的时候往往会想到 classic paxos 或者 raft 协议，这两个协议是很多其他协议的基础，后续的很多协议都可以看成是它们的变种，例如 Multi-Paxos 和 Fast-Paxos 等等。我们今天先从这两个协议入手，先来回顾一下这两个协议是如何工作的。

    首先来看 classic paxos 协议，如下图所示。Paxos 分为两个阶段（Phase)，第一个阶段是 Prepare，主要任务是在 Log 上占一个 Slot，第二个阶段为 Accept，主要是确定这个 Slot 已经明确被占用了，且在两个阶段间没有被其他人抢占。当 Client 收到绝大多数人的 Accept Ok 回复之后，说明该条记录已经被提交，在整个系统达成了共识。这里 Client 和 Proposer 可以视为一个整体，整个过程在两个阶段分别有一次消息传递，总共发生两次消息传递。

    图片

    @@ -38,4 +38,4 @@ A5：首先恢复流程需要选举一个新的 Master(Leader)，该流程和 Ra

    Curp 协议总结和讨论

    通过上一个章节的论述，我们不难发现 Curp 协议和 Raft 协议非常像，其中的不同点就在于“等待池子”，这个池子的目的在于给冲突的请求排序，多个冲突请求一定不能被所有节点的“池子”同时接受，此时最多只有一个请求被 commit，也有可能所有请求都需要等待 master 的同步。也就是这个改动，让协议在某些情况下有更优秀的性能表现。

    所以总结一下， Curp 协议在乐观情况下一个消息传递就能达到共识，悲观情况下会退化成 Raft 协议，需要两个消息传递才能达成共识。

    -

    关于 Curp 协议的更多细节请参考原始论文：https://www.usenix.org/system/files/nsdi19-park.pdf

    `;export{p as assetURLs,l as default,s as metadata,r as toc}; +

    关于 Curp 协议的更多细节请参考原始论文：https://www.usenix.org/system/files/nsdi19-park.pdf

    `;export{p as assetURLs,l as default,r as metadata,s as toc}; diff --git a/zh-cn/assets/index-35dfbee0.js b/zh-cn/assets/index-d790eeeb.js similarity index 83% rename from zh-cn/assets/index-35dfbee0.js rename to zh-cn/assets/index-d790eeeb.js index 28c9d38..ad8c9e9 100644 --- a/zh-cn/assets/index-35dfbee0.js +++ b/zh-cn/assets/index-d790eeeb.js @@ -1,4 +1,4 @@ -const p="/zh-cn/assets/cover-39643179.png",e="/zh-cn/assets/image1-a93ba076.jpg",t="/zh-cn/assets/image2-4624885a.gif",s="/zh-cn/assets/image3-ea54df7e.jpg",a=[p,e,t,s],c={label:"直播预告 | RDMA软件接口高层封装",description:"RDMA 作为高速通信协议被数据中心广泛使用，但是因为底层接口设计得过于繁复，对使用者造成了很大的不便，因此我们使用 Rust 语言对 RDMA 进行了一层高层封装。这次分享将介绍这层封装的做法和原理。",cover:"./cover.png",location:"香港",date:"2022-05-17",title:"RDMA Software Interface High Level Package"},l=[{label:"嘉宾介绍",level:2},{label:"讨论内容",level:2},{label:"观看方式",level:2},{label:"特别鸣谢",level:2}],n=`

    嘉宾介绍

    +const s="/zh-cn/assets/cover-39643179.png",e="/zh-cn/assets/image1-a93ba076.jpg",t="/zh-cn/assets/image2-4624885a.gif",p="/zh-cn/assets/image3-ea54df7e.jpg",a=[s,e,t,p],c={label:"直播预告 | RDMA软件接口高层封装",description:"RDMA 作为高速通信协议被数据中心广泛使用，但是因为底层接口设计得过于繁复，对使用者造成了很大的不便，因此我们使用 Rust 语言对 RDMA 进行了一层高层封装。这次分享将介绍这层封装的做法和原理。",cover:"./cover.png",location:"香港",date:"2022-05-17",title:"RDMA Software Interface High Level Package"},n=[{label:"嘉宾介绍",level:2},{label:"讨论内容",level:2},{label:"观看方式",level:2},{label:"特别鸣谢",level:2}],l=`

    嘉宾介绍

    施继成

    达坦科技联合创始人兼 CTO，复旦大学软件工程本硕，师从华为基础软件首席科学家、鸿蒙实验室主任陈海波教授。擅长操作系统内核开发、分布式系统、嵌入式系统，对分布式数据一致性有钻深的研究，发表多篇操作系统内核相关论文，累计数百次引用。毕业后曾在谷歌中国、微软亚太和阿里巴巴等公司从事分布式计算和存储等相关工作。入选 2022 年度 6 氪 S 级创业者名册，荣获中国“企业工具与底层软件”领域 “36 位 36 岁以下创业者“称号。

    讨论内容

    @@ -16,5 +16,5 @@ const p="/zh-cn/assets/cover-39643179.png",e="/zh-cn/assets/image1-a93ba076.jpg"

    图片

    转发本文，文末留言提问、加群提问、或者现场提问，我们将赠送 1 本书，数量有限，送完为止。

    ↓ 扫码加入本次直播交流群；

    -

    图片

    -

    咨询的小伙伴，可添加小月@阅码场的微信 Linuxer2016 咨询

    `;export{a as assetURLs,n as default,c as metadata,l as toc}; +

    图片

    +

    咨询的小伙伴，可添加小月@阅码场的微信 Linuxer2016 咨询

    `;export{a as assetURLs,l as default,c as metadata,n as toc}; diff --git a/zh-cn/assets/index-85fa6207.js b/zh-cn/assets/index-d8c5f733.js similarity index 98% rename from zh-cn/assets/index-85fa6207.js rename to zh-cn/assets/index-d8c5f733.js index 0272c47..ac49b2a 100644 --- a/zh-cn/assets/index-85fa6207.js +++ b/zh-cn/assets/index-d8c5f733.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/image1-145af1bc.png",a="/zh-cn/assets/image2-b5b0ee19.png",t="/zh-cn/assets/image3-204919ac.png",l="/zh-cn/assets/image4-e50f112d.png",p="/zh-cn/assets/image5-cdb8d1de.png",i=[e,a,t,l,p],n={label:"数据库隔离级别及MVCC",description:"数据库在同时处理多个事务时需要决定事务之间能否看到对方的修改，能看到多少等等。根据隔离的严格程度，从严到松可以分为 Serializable, Repeatable reads, Read committed, Read uncommitted。我们用下面这个 KV 存储的例子来解释这四个隔离级别。KV 存储的初始状态如下：",location:"中国香港",tags:["Xline"],date:"2023-02-16",title:"Database isolation level and MVCC"},o=[{label:"数据库隔离级别介绍",level:2},{label:"Read uncommitted",level:3},{label:"Repeatable read",level:3},{label:"Serializable",level:3},{label:"Snapshot 隔离级别及 MVCC",level:2},{label:"一点联想",level:2},{label:"总结",level:2}],s=`

    数据库隔离级别介绍

    +const e="/zh-cn/assets/image1-145af1bc.png",a="/zh-cn/assets/image2-b5b0ee19.png",l="/zh-cn/assets/image3-204919ac.png",t="/zh-cn/assets/image4-e50f112d.png",p="/zh-cn/assets/image5-cdb8d1de.png",i=[e,a,l,t,p],n={label:"数据库隔离级别及MVCC",description:"数据库在同时处理多个事务时需要决定事务之间能否看到对方的修改，能看到多少等等。根据隔离的严格程度，从严到松可以分为 Serializable, Repeatable reads, Read committed, Read uncommitted。我们用下面这个 KV 存储的例子来解释这四个隔离级别。KV 存储的初始状态如下：",location:"中国香港",tags:["Xline"],date:"2023-02-16",title:"Database isolation level and MVCC"},o=[{label:"数据库隔离级别介绍",level:2},{label:"Read uncommitted",level:3},{label:"Repeatable read",level:3},{label:"Serializable",level:3},{label:"Snapshot 隔离级别及 MVCC",level:2},{label:"一点联想",level:2},{label:"总结",level:2}],s=`

    数据库隔离级别介绍

    数据库在同时处理多个事务时需要决定事务之间能否看到对方的修改，能看到多少等等。根据隔离的严格程度，从严到松可以分为 Serializable, Repeatable reads, Read committed, Read uncommitted。我们用下面这个 KV 存储的例子来解释这四个隔离级别。KV 存储的初始状态如下：

    Table 1:

    图片

    @@ -8,12 +8,12 @@ const e="/zh-cn/assets/image1-145af1bc.png",a="/zh-cn/assets/image2-b5b0ee19.png

    图片

    在 Read uncommitted 的隔离级别中，多个同时执行的事务是能够互相看到互相没有 commit 的写操作，因此可以认为这种隔离级别几乎没有作用。在上述例子中，Operation 2 读到的内容是 “AA”，Operation 4 读到的内容则是“DD”，即使第二个事务最终 Rollback 了。Read committed 有两个事务同时被执行，自上而下是执行顺序。

    Table 3:

    -

    图片

    +

    图片

    在 Read committed 的隔离级别中，只有被 Commit 后的结果可以被看到，因此在 Table 2 的执行顺序中，Operation 2 和 4 都能够读取到 “AA” 的值，即 Key 1 的值没有改变。如果按照 Table 3 中的情况执行两个事务，Operation 2 读到的值为 “AA”，Operation 5 读到的值为 “DD”，因为此时事务 2 已经执行成功。

    Repeatable read

    如果在 Table 3 中的事务 1 两次连续读操作，用户想要保证读到相同的值，那就需要使用 repeatable read 隔离级别。在这个隔离级别中，在同一个事务中对同一条数据的多次读取保证会得到相同的值，即使这个过程中该数据被其他已经提交的事务修改掉。当然该隔离级别也有一些情况无法保证隔离性，比如下列情况：

    Table 4:

    -

    图片

    +

    图片

    在 repeatable read 的隔离级别下，Operation 2 的返回结果是 ["CC"] —— 只有 Key 3 的值被返回了，但是 Operation 5 的返回值是 ["CC", "DD"]。总结一下，repeatable read 的隔离级别仍然无法很好处理涉及多条数据的情况，特别是当有新的数据插入或者删除的情况。

    Serializable

    最严格的隔离级别叫做 Serializable，这个级别的定义也是最清晰明了的，在这种隔离级别下的执行结果，就“仿佛”是将所有事务串行起来一条一条执行的结果。上面这句话中值得强调的是 “仿佛” 二字，为了提高性能，几乎没有数据库是采用真正物理意义上的串行执行来保证 Serializable 的，仅仅达到类似效果即可，实现的方法是可以多种多样的。在 Serializable 级别下还有一个细致的分类，叫做 Snapshot，该分类与 Serializable 类似但约束能力上稍弱。正是因为 Snapshot 在约束上的放松，使得其实现起来具有更好的性能，也是绝大多数数据库默认支持的隔离级别。下面我们就来说说 Snapshot，以及引申出来的 MVCC 实现方法。

    diff --git a/zh-cn/assets/index-a179aa93.js b/zh-cn/assets/index-dd1d4688.js similarity index 94% rename from zh-cn/assets/index-a179aa93.js rename to zh-cn/assets/index-dd1d4688.js index 27dfe53..f6df26f 100644 --- a/zh-cn/assets/index-a179aa93.js +++ b/zh-cn/assets/index-dd1d4688.js @@ -1,6 +1,6 @@ -const t="/zh-cn/assets/cover-3674aa81.jpg",s="/zh-cn/assets/image1-b73fb0ee.jpg",n=[t,s],e={label:"Rust唠嗑室：Xline-跨数据中心一致性管理",description:"随着互联网和云计算的业务规模越来越大，单个数据中心已经无法满足业务的需求，业务系统从单数据中心向多数据中心发展，多地多中心多活部署的需求也越来越普遍。多数据中心架构最大的挑战是，如何保证数据跨数据中心访问的一致性和性能。比如索引、权限、配置等这类需要跨数据中心共享访问的元数据，如何在多中心竞争修改的场景下，仍然能保持一致性，并且保证访问性能。",cover:"./cover.jpg",location:"香港",date:"2022-10-11",title:"Xline Cross Data Center Consistency Management"},o=[],a=`

    图片

    +const t="/zh-cn/assets/cover-3674aa81.jpg",s="/zh-cn/assets/image1-b73fb0ee.jpg",n=[t,s],e={label:"Rust唠嗑室：Xline-跨数据中心一致性管理",description:"随着互联网和云计算的业务规模越来越大，单个数据中心已经无法满足业务的需求，业务系统从单数据中心向多数据中心发展，多地多中心多活部署的需求也越来越普遍。多数据中心架构最大的挑战是，如何保证数据跨数据中心访问的一致性和性能。比如索引、权限、配置等这类需要跨数据中心共享访问的元数据，如何在多中心竞争修改的场景下，仍然能保持一致性，并且保证访问性能。",cover:"./cover.jpg",location:"香港",date:"2022-10-11",title:"Xline Cross Data Center Consistency Management"},o=[],r=`

    图片

    内容简介:

    随着互联网和云计算的业务规模越来越大，单个数据中心已经无法满足业务的需求，业务系统从单数据中心向多数据中心发展，多地多中心多活部署的需求也越来越普遍。多数据中心架构最大的挑战是，如何保证数据跨数据中心访问的一致性和性能。比如索引、权限、配置等这类需要跨数据中心共享访问的元数据，如何在多中心竞争修改的场景下，仍然能保持一致性，并且保证访问性能。

    传统单数据中心解决方案无法满足跨数据中心的场景对性能和一致性的需求。DatenLord 推出开源的分布式 KV 存储 Xline，就是针对多数据中心场景，实现数据的高性能跨云、跨数据中心共享访问，并且保证数据的一致性，方便业务系统实现多地多中心多活部署。

    本周六（10 月 15 日）下午 3 点，达坦科技和 Rust 语言中文社区合作，由达坦科技的联合创始人施继成在 Rust 唠嗑室做开源分布式存储技术的分享，介绍 Xline 是如何实现高性能跨数据中心的数据一致性管理。欢迎大家预约收看！

    -

    图片

    `;export{n as assetURLs,a as default,e as metadata,o as toc}; +

    图片

    `;export{n as assetURLs,r as default,e as metadata,o as toc}; diff --git a/zh-cn/assets/index-e532f0e1.js b/zh-cn/assets/index-eb32f88d.js similarity index 98% rename from zh-cn/assets/index-e532f0e1.js rename to zh-cn/assets/index-eb32f88d.js index fe1f77d..0fcf991 100644 --- a/zh-cn/assets/index-e532f0e1.js +++ b/zh-cn/assets/index-eb32f88d.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/cover-1329fc54.png",l="/zh-cn/assets/image1-03c3323d.png",s="/zh-cn/assets/image2-19f32eff.png",i="/zh-cn/assets/image3-7a5e2db9.png",a="/zh-cn/assets/image4-a055bd84.png",t="/zh-cn/assets/image5-b8622f96.png",p="/zh-cn/assets/image6-5093ee75.png",n="/zh-cn/assets/image7-9fa09d91.png",o="/zh-cn/assets/image8-84dd6aec.png",c="/zh-cn/assets/image9-2f762488.png",r="/zh-cn/assets/image10-f2b55246.png",h="/zh-cn/assets/image11-c5d501bb.png",d="/zh-cn/assets/image12-56434254.png",m="/zh-cn/assets/image13-1c12a6c5.png",u="/zh-cn/assets/image14-69943dbe.png",b="/zh-cn/assets/image15-45a7b638.png",g="/zh-cn/assets/image16-5b765721.jpg",f="/zh-cn/assets/image17-8fb19d7c.jpg",R="/zh-cn/assets/image18-c8c4d5a1.jpg",y="/zh-cn/assets/image19-fb1e5167.png",_="/zh-cn/assets/image20-a391e7d8.jpg",S=[e,l,s,i,a,t,p,n,o,c,r,h,d,m,u,b,g,f,R,y,_],v={label:"计算机体系结构｜MIT6.175和MIT6.375学习笔记",description:"在2023年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。现在，完成第一期学习的同学整理了MIT6.175和MIT6.375的关键内容以及Lab实践的学习笔记。",cover:"./cover.png",location:"中国香港",author:["kazutoiris"],tags:["硬件加速"],date:"2023-05-17",title:"Computer Architecture｜MIT6.175 and MIT6.375 Study Notes"},M=[{label:"MIT 6.175",level:2},{label:"环境搭建",level:3},{label:"四种 FIFO (Lab 4)",level:3},{label:"Ready 和 Valid 握手",level:3},{label:"EHR 寄存器 (Lab4)",level:3},{label:"RISC-V (Lab5)",level:3},{label:"Branch Prediction (Lab6)",level:3},{label:"DDR3 Memory (Lab7)",level:3},{label:"Cache Coherence (Project)",level:3},{label:"MIT 6.375",level:2},{label:"Bluespec 中的一些特性",level:3},{label:"CORDIC 算法",level:3},{label:"一些常用的概念",level:2},{label:"Setup Time 、Hold Time 和 Clock-to-Q Time",level:3},{label:"SRAM",level:3},{label:"DRAM",level:3},{label:"References",level:2}],C=`

    图片

    +const e="/zh-cn/assets/cover-1329fc54.png",l="/zh-cn/assets/image1-03c3323d.png",s="/zh-cn/assets/image2-19f32eff.png",i="/zh-cn/assets/image3-7a5e2db9.png",a="/zh-cn/assets/image4-a055bd84.png",t="/zh-cn/assets/image5-b8622f96.png",p="/zh-cn/assets/image6-5093ee75.png",n="/zh-cn/assets/image7-9fa09d91.png",o="/zh-cn/assets/image8-84dd6aec.png",c="/zh-cn/assets/image9-2f762488.png",r="/zh-cn/assets/image10-f2b55246.png",d="/zh-cn/assets/image11-c5d501bb.png",h="/zh-cn/assets/image12-56434254.png",m="/zh-cn/assets/image13-1c12a6c5.png",u="/zh-cn/assets/image14-69943dbe.png",b="/zh-cn/assets/image15-45a7b638.png",g="/zh-cn/assets/image16-5b765721.jpg",f="/zh-cn/assets/image17-8fb19d7c.jpg",y="/zh-cn/assets/image18-c8c4d5a1.jpg",R="/zh-cn/assets/image19-fb1e5167.png",S="/zh-cn/assets/image20-a391e7d8.jpg",_=[e,l,s,i,a,t,p,n,o,c,r,d,h,m,u,b,g,f,y,R,S],v={label:"计算机体系结构｜MIT6.175和MIT6.375学习笔记",description:"在2023年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。现在，完成第一期学习的同学整理了MIT6.175和MIT6.375的关键内容以及Lab实践的学习笔记。",cover:"./cover.png",location:"中国香港",author:["kazutoiris"],tags:["硬件加速"],date:"2023-05-17",title:"Computer Architecture｜MIT6.175 and MIT6.375 Study Notes"},M=[{label:"MIT 6.175",level:2},{label:"环境搭建",level:3},{label:"四种 FIFO (Lab 4)",level:3},{label:"Ready 和 Valid 握手",level:3},{label:"EHR 寄存器 (Lab4)",level:3},{label:"RISC-V (Lab5)",level:3},{label:"Branch Prediction (Lab6)",level:3},{label:"DDR3 Memory (Lab7)",level:3},{label:"Cache Coherence (Project)",level:3},{label:"MIT 6.375",level:2},{label:"Bluespec 中的一些特性",level:3},{label:"CORDIC 算法",level:3},{label:"一些常用的概念",level:2},{label:"Setup Time 、Hold Time 和 Clock-to-Q Time",level:3},{label:"SRAM",level:3},{label:"DRAM",level:3},{label:"References",level:2}],F=`

    图片

    在 2023 年初，达坦科技发起成立硬件设计学习社区，邀请所有有志于从事数字芯片设计的同学加入我们的学习互助自学小组，以理解数字芯片设计的精髓，强化理论知识的同时提升实操技能，继而整体提升设计能力。现在，完成第一期学习的同学整理了 MIT6.175 和 MIT6.375 的关键内容以及 Lab 实践的学习笔记。

    6.175 和 6.375 的课程和 Lab 学习都有一定的难度，要求采用 Bluespec 语言实现 RISC-V 处理器，并支持多级流水、分支预测、缓存、异常处理、缓存一致性等功能。此外，Lab 环节还涉及软硬件联合开发，要求基于所实现的 RISC-V 处理器运行真实的 RISC-V 程序，并给出性能评估。希望第一期学员（GitHub:kazutoiris ）的学习笔记对想从事数字芯片设计的工程师有所帮助。

    MIT 6.175

    @@ -223,12 +223,12 @@ case class Delay3() extends C
    1. MESI
    -

    图片

    +

    图片

    MESI 协议将“Exclusive”状态添加到 MSI 状态机中，可以减少只在单个缓存中存在的缓存行的回写次数。

    1. MOSI
    -

    图片

    +

    图片

    MOSI 协议将“Owner”状态添加到 MSI，可以减少由从其他处理器读取而触发的写回操作。

    1. MOESI
      2. @@ -342,11 +342,11 @@ Memory Consistency → 内存连贯性

      图片

      伪双端口具有独立的读写字线（RWL， WWL）和读写位线（RBL， WBL 和 WBLB）。

      真双端口 SRAM （2R2W）

      -

      图片

      +

      图片

      具有两套完整的读写字线和读写位线。
      All the images in this section are cited from [宇芯电子].

      DRAM

      -

      图片

      +

      图片

      1. DRAM 写
      @@ -380,4 +380,4 @@ All the images in this section are cited from [宇芯电子].

    达坦科技硬件设计学习社区持续开放，点击原文了解社区学习详情。若想询问加入细节，请添加下方小助手微信号或info@datenlord.com

    -

    图片

    `;export{S as assetURLs,C as default,v as metadata,M as toc}; +

    图片

    `;export{_ as assetURLs,F as default,v as metadata,M as toc}; diff --git a/zh-cn/assets/index-565df20e.js b/zh-cn/assets/index-ee27ecf3.js similarity index 89% rename from zh-cn/assets/index-565df20e.js rename to zh-cn/assets/index-ee27ecf3.js index bec28bc..e4cb87d 100644 --- a/zh-cn/assets/index-565df20e.js +++ b/zh-cn/assets/index-ee27ecf3.js @@ -1,4 +1,4 @@ -const s="/zh-cn/assets/cover-48216986.png",t="/zh-cn/assets/image1-02771bf0.jpg",n="/zh-cn/assets/image1-f46bfcc6.jpg",o=[s,t,n],r={label:"当RDMA遇到Rust",description:"2022年8月5日-6日，一年一度的中国开源基础设施活动日（OpenInfra Days China）即将在线上举行。本次会议没有限定一个统一的主题，主要聚焦云计算基础设施、云原生技术与应用实践、开源治理、5G、算力网络与边缘计算五大主题方向。",cover:"./cover.png",location:"新加坡",date:"2022-08-04",title:"When RDMA meets Rust"},p=[],e=`

    封面

    +const s="/zh-cn/assets/cover-48216986.png",t="/zh-cn/assets/image1-02771bf0.jpg",n="/zh-cn/assets/image1-f46bfcc6.jpg",p=[s,t,n],o={label:"当RDMA遇到Rust",description:"2022年8月5日-6日，一年一度的中国开源基础设施活动日（OpenInfra Days China）即将在线上举行。本次会议没有限定一个统一的主题，主要聚焦云计算基础设施、云原生技术与应用实践、开源治理、5G、算力网络与边缘计算五大主题方向。",cover:"./cover.png",location:"新加坡",date:"2022-08-04",title:"When RDMA meets Rust"},r=[],a=`

    封面

    2022 年 8 月 5 日-6 日，**一年一度的中国开源基础设施活动日（OpenInfra Days China）**即将在线上举行。本次会议没有限定一个统一的主题，主要聚焦云计算基础设施、云原生技术与应用实践、开源治理、5G、算力网络与边缘计算五大主题方向。

    云计算基础设施分论坛主要聚焦云计算基础设施领域的前沿技术和优秀实践，围绕多硬件架构和多操作系统支持、人工智能技术应用、网络与存储，数据处理 DPU 及其他加速硬件、硬件自动化和智能运维等方面展开技术分享和探讨。达坦科技联合创始人施继成将在这一分论坛做题为当 RDMA 遇到 Rust 的专题分享。

    图片

    @@ -10,4 +10,4 @@ const s="/zh-cn/assets/cover-48216986.png",t="/zh-cn/assets/image1-02771bf0.jpg"

    参会方式

    想要了解更多达坦科技为什么选择 Rust 做 RDMA 库，以及开发设计背后的理念、逻辑、和实践经验，欢迎扫描海报二维码，免费注册报名。

    有意加入 Rust 前沿交流讨论群，请添加小助手微信：

    -

    图片

    `;export{o as assetURLs,e as default,r as metadata,p as toc}; +

    图片

    `;export{p as assetURLs,a as default,o as metadata,r as toc}; diff --git a/zh-cn/assets/index-6579ba3c.js b/zh-cn/assets/index-fd018bec.js similarity index 99% rename from zh-cn/assets/index-6579ba3c.js rename to zh-cn/assets/index-fd018bec.js index 2eb9a45..ac5019f 100644 --- a/zh-cn/assets/index-6579ba3c.js +++ b/zh-cn/assets/index-fd018bec.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/image1-abdba371.png",s="/zh-cn/assets/image2-c99b8752.png",l=[e,s],c={label:"Rust实现RDMA异步编程（一）：基于epoll实现RDMA异步操作",description:"RDMA是一套高性能网络协议栈，多用于高性能计算、高性能存储领域。RDMA的library是用C实现的，但是没有很好用的Rust的binding，不方便Rust开发者使用。于是我们正在封装一层符合Rust风格、便于Rust开发者使用的RDMA Rust binding。特别的，异步编程是近几年很受关注的编程方式，用Rust异步编程来实现IO操作，可以避免操作系统的进程上下文切换，提高性能，而且Rust的异步编程框架也在逐步成熟和完善。本系列文章探讨下如何用异步的方式实现RDMA的操作。本文先讨论下如何基于Linux的epoll机制实现RDMA异步操作，后续的文章再探讨如何用Rust异步编程来实现RDMA异步操作。",location:"河南",author:["王璞"],editor:["张汉东"],tags:["RDMA"],date:"2022-05-27",title:"Rust implementation of RDMA asynchronous programming (I): epoll based implementation of RDMA asynchronous operation"},n=[{label:"RDMA 操作简介",level:2},{label:"Linux epoll 异步机制简介",level:2},{label:"RDMA 完成队列 CQ 读取 CQE 的同步和异步方法",level:2},{label:"RDMA 轮询方式读取 CQE",level:3},{label:"RDMA 完成事件通道方式读取 CQE",level:3},{label:"基于 epoll 异步读取 CQE",level:3}],a=`

    RDMA 是一套高性能网络协议栈，多用于高性能计算、高性能存储领域。RDMA 的 library 是用 C 实现的，但是没有很好用的 Rust 的 binding，不方便 Rust 开发者使用。于是我们正在封装一层符合 Rust 风格、便于 Rust 开发者使用的 RDMA Rust binding。特别的，异步编程是近几年很受关注的编程方式，用 Rust 异步编程来实现 IO 操作，可以避免操作系统的进程上下文切换，提高性能，而且 Rust 的异步编程框架也在逐步成熟和完善。本系列文章探讨下如何用异步的方式实现 RDMA 的操作。本文先讨论下如何基于 Linux 的 epoll 机制实现 RDMA 异步操作，后续的文章再探讨如何用 Rust 异步编程来实现 RDMA 异步操作。

    +const e="/zh-cn/assets/image1-abdba371.png",s="/zh-cn/assets/image2-c99b8752.png",l=[e,s],c={label:"Rust实现RDMA异步编程（一）：基于epoll实现RDMA异步操作",description:"RDMA是一套高性能网络协议栈，多用于高性能计算、高性能存储领域。RDMA的library是用C实现的，但是没有很好用的Rust的binding，不方便Rust开发者使用。于是我们正在封装一层符合Rust风格、便于Rust开发者使用的RDMA Rust binding。特别的，异步编程是近几年很受关注的编程方式，用Rust异步编程来实现IO操作，可以避免操作系统的进程上下文切换，提高性能，而且Rust的异步编程框架也在逐步成熟和完善。本系列文章探讨下如何用异步的方式实现RDMA的操作。本文先讨论下如何基于Linux的epoll机制实现RDMA异步操作，后续的文章再探讨如何用Rust异步编程来实现RDMA异步操作。",location:"河南",author:["王璞"],editor:["张汉东"],tags:["RDMA"],date:"2022-05-27",title:"Rust implementation of RDMA asynchronous programming (I): epoll based implementation of RDMA asynchronous operation"},n=[{label:"RDMA 操作简介",level:2},{label:"Linux epoll 异步机制简介",level:2},{label:"RDMA 完成队列 CQ 读取 CQE 的同步和异步方法",level:2},{label:"RDMA 轮询方式读取 CQE",level:3},{label:"RDMA 完成事件通道方式读取 CQE",level:3},{label:"基于 epoll 异步读取 CQE",level:3}],o=`

    RDMA 是一套高性能网络协议栈，多用于高性能计算、高性能存储领域。RDMA 的 library 是用 C 实现的，但是没有很好用的 Rust 的 binding，不方便 Rust 开发者使用。于是我们正在封装一层符合 Rust 风格、便于 Rust 开发者使用的 RDMA Rust binding。特别的，异步编程是近几年很受关注的编程方式，用 Rust 异步编程来实现 IO 操作，可以避免操作系统的进程上下文切换，提高性能，而且 Rust 的异步编程框架也在逐步成熟和完善。本系列文章探讨下如何用异步的方式实现 RDMA 的操作。本文先讨论下如何基于 Linux 的 epoll 机制实现 RDMA 异步操作，后续的文章再探讨如何用 Rust 异步编程来实现 RDMA 异步操作。

    RDMA 操作简介

    RDMA 的编程模型是基于消息的方式来实现网络传输，并且用队列来管理待发送的消息和接收到的消息。RDMA 的网络传输相关操作基本上都是跟队列相关的操作：比如把要发送的消息放入发送队列，消息发送完成后在完成队列里放一个发送完成消息，以供用户程序查询消息发送状态；再比如接收队列里收到消息，也要在完成队列里放个接收完成消息，以供用户程序查询有新消息要处理。

    图片

    @@ -148,4 +148,4 @@ epoll::epoll_ctl(

    上面代码有个要注意的地方，因为 epoll 是用边沿触发，所以每次有新 CQE 产生时，都要调用 ibv_poll_cq 把 CQ 队列读空。考虑如下场景，同时有多个新的 CQE 产生，但是 epoll 边沿触发只通知一次，如果用户程序收到通知后没有读空 CQ，那 epoll 也不会再产生新的通知，除非再有新的 CQE 产生，epoll 才会再次通知用户程序。

    总之，本文用 epoll 机制实现 RDMA 异步读取 CQE 的例子，展示了如何实现 RDMA 的异步操作。RDMA 还有类似的操作，都可以基于 epoll 机制实现异步操作。

    对Rust和RDMA感兴趣的朋友，可以关注我们的开源项目:
    -https://github.com/datenlord/async-rdma/

    `;export{l as assetURLs,a as default,c as metadata,n as toc}; +https://github.com/datenlord/async-rdma/

    `;export{l as assetURLs,o as default,c as metadata,n as toc}; diff --git a/zh-cn/assets/index-6efd8c63.js b/zh-cn/assets/index-ff0aa4c9.js similarity index 98% rename from zh-cn/assets/index-6efd8c63.js rename to zh-cn/assets/index-ff0aa4c9.js index dc25493..e096b05 100644 --- a/zh-cn/assets/index-6efd8c63.js +++ b/zh-cn/assets/index-ff0aa4c9.js @@ -1,4 +1,4 @@ -const e="/zh-cn/assets/cover-c17c52cc.png",s="/zh-cn/assets/image1-0dff4570.png",c="/zh-cn/assets/image2-e09cfdc8.png",o="/zh-cn/assets/image3-2b589463.png",a="/zh-cn/assets/image4-5841c9d6.png",p="/zh-cn/assets/image5-92344f1d.png",d="/zh-cn/assets/image6-b429f851.png",t="/zh-cn/assets/image7-97920b5a.png",r="/zh-cn/assets/image8-ecf5c6f3.png",i="/zh-cn/assets/image9-f47bad66.png",n="/zh-cn/assets/image10-b50adc27.png",l="/zh-cn/assets/image11-99ec2a51.png",m=[e,s,c,o,a,p,d,t,r,i,n,l],g={label:"从数学角度思考程序与验证正确性",description:"本文旨在为没有接触过形式化方法的读者提供一种新的视角看待计算机系统与算法，而非形式化方法或 TLA+ 教程。因此本文的重点是如何从数学角度思考程序，不会使用大篇幅讲解 TLA+ 的语法。",cover:"./cover.png",location:"中国香港",author:["田野"],tags:["Xline"],date:"2023-03-02",title:"Thinking about programs mathematically and verifying correctness"},h=[{label:"我们该如何写出正确的程序？",level:2},{label:"程序中会有什么样错误？",level:3},{label:"经验",level:3},{label:"形式化方法",level:3},{label:"TLA+",level:2},{label:"简单的例子",level:3},{label:"Two-Phase Commit",level:2},{label:"总结",level:2},{label:"我们的项目：Xline",level:2}],A=`

    封面

    +const e="/zh-cn/assets/cover-c17c52cc.png",s="/zh-cn/assets/image1-0dff4570.png",c="/zh-cn/assets/image2-e09cfdc8.png",o="/zh-cn/assets/image3-2b589463.png",p="/zh-cn/assets/image4-5841c9d6.png",a="/zh-cn/assets/image5-92344f1d.png",d="/zh-cn/assets/image6-b429f851.png",r="/zh-cn/assets/image7-97920b5a.png",t="/zh-cn/assets/image8-ecf5c6f3.png",i="/zh-cn/assets/image9-f47bad66.png",n="/zh-cn/assets/image10-b50adc27.png",l="/zh-cn/assets/image11-99ec2a51.png",m=[e,s,c,o,p,a,d,r,t,i,n,l],g={label:"从数学角度思考程序与验证正确性",description:"本文旨在为没有接触过形式化方法的读者提供一种新的视角看待计算机系统与算法，而非形式化方法或 TLA+ 教程。因此本文的重点是如何从数学角度思考程序，不会使用大篇幅讲解 TLA+ 的语法。",cover:"./cover.png",location:"中国香港",author:["田野"],tags:["Xline"],date:"2023-03-02",title:"Thinking about programs mathematically and verifying correctness"},h=[{label:"我们该如何写出正确的程序？",level:2},{label:"程序中会有什么样错误？",level:3},{label:"经验",level:3},{label:"形式化方法",level:3},{label:"TLA+",level:2},{label:"简单的例子",level:3},{label:"Two-Phase Commit",level:2},{label:"总结",level:2},{label:"我们的项目：Xline",level:2}],T=`

    封面

    本文旨在为没有接触过形式化方法的读者提供一种新的视角看待计算机系统与算法，而非形式化方法或 TLA+ 教程。因此本文的重点是如何从数学角度思考程序，不会使用大篇幅讲解 TLA+ 的语法。

    我们该如何写出正确的程序？

    程序设计的目标永远是写出正确的程序。随着时间的推移，我们的程序越来越复杂，其中可能存在的错误也越来越多。想要写出正确的程序，首先应该了解程序中可能出现的错误有哪些。

    @@ -67,7 +67,7 @@ const e="/zh-cn/assets/cover-c17c52cc.png",s="/zh-cn/assets/image1-0dff4570.png"

    在其中用到了"或"连接两个状态，我们可以用布尔逻辑中的逻辑或 ∨ 来表示。这样，我们就可以清晰地表示出程序的状态转换关系了。为了美观，在 TLA+ 中，首句前也可以补上相同的布尔逻辑符号：

    图片

    我们最终得到了这个简单程序在初始状态后的两个状态，下面我们将初始状态补全，并按照 TLA+ 语言的要求补全整个 specification：

    -

    图片

    +

    图片

    • EXTENDS 用于引入其他 specification 中定义的 module，这里引入了标准库中的 Integers，主要用在 i' ∈ 0..1000 上。
    • VARIABLES 用于定义变量，这里定义了 i 和 pc。
      • @@ -83,7 +83,7 @@ Next 用于定义状态转换关系。

      二阶段提交（英语：Two-phase Commit）是指在计算机网络以及数据库领域内，为了使基于分布式系统架构下的所有节点在进行事务提交时保持一致性而设计的一种算法。通常，二阶段提交也被称为是一种协议（Protocol）。在分布式系统中，每个节点虽然可以知晓自己的操作时成功或者失败，却无法知道其他节点的操作的成功或失败。当一个事务跨越多个节点时，为了保持事务的 ACID 特性，需要引入一个作为协调者的组件来统一掌控所有节点（称作参与者）的操作结果并最终指示这些节点是否要把操作结果进行真正的提交（比如将更新后的数据写入磁盘等等）。因此，二阶段提交的算法思路可以概括为：参与者将操作成败通知协调者，再由协调者根据所有参与者的反馈情报决定各参与者是否要提交操作还是中止操作。—— Two-Phase Commit (Wikipedia)

      在 Leslie Lamport's The TLA+ Video Course 中，Lamport 以这样的方式类比解释 Two-Phase Commit：

      -

      图片

      +

      图片

      在婚礼上，牧师是协调者，新郎和新娘是参与者。当新郎和新娘都同意婚事时，牧师才会正式宣布婚事。如果有一方不同意，牧师就会中止婚事：

      1. 牧师问新郎：你是否同意这件婚事？
        2. @@ -105,14 +105,14 @@ Next 用于定义状态转换关系。

      2. 变量 msgs 作为消息池，用于记录所有正在传输的消息，初始值是一个空集。

    下面我们来定义系统做可能发生的动作。

    -

    图片

    +

    图片

    • TLA+ 中可以用上述方式定义类似于其它编程语言中"函数"概念的表达式，这样就无需对每一个 Resource Manager 都定义一个表达式了。
    • [type → "prepare", rm → r] 是一个 TLA+ 中的 record，类似于其它编程语言中的 struct。
    • UNCHANGED ⟨rmState, tmState, msgs⟩ 表示这个动作不会改变 rmState、tmState、msgs 这三个变量的值。在 TLA+ 中，每一个变量的值是否改变都需要显式地声明。

    当 TM 的状态为 init，且在消息池中存在来自 r 的 Prepared 消息，tmPrepared 在下一个状态的值会是 tmPrepared 和 {r} 的并集。

    -

    图片

    +

    图片

    上面的两个动作分别是 Transaction Manager 进行 Commit 与 Abort。

    图片

    上述 4 个 Resource Manager 动作分别是 Resource Manager 选择 Prepare 与 Abort，以及处理由 Transaction Manager 决定的 Commit 与 Abort。

    @@ -149,4 +149,4 @@ Next 用于定义状态转换关系。

    我们的项目：Xline

    TLA+被广泛用于分布式系统算法的研究和开发中。在我们的项目 Xline 中，TLA+被用来在设计阶段验证共识算法的正确性。

    Xline 是一个用于元数据管理的分布式 KV 存储。我们在 Xline 中使用 CURP 协议（https://www.usenix.org/system/files/nsdi19-park.pdf)的修改版作为共识协议，TLA+将被用于其正确性验证中。

    -

    如果你想了解更多关于 Xline 的信息，请参考我们的 Github：https://github.com/datenlord/Xline

    `;export{m as assetURLs,A as default,g as metadata,h as toc}; +

    如果你想了解更多关于 Xline 的信息，请参考我们的 Github：https://github.com/datenlord/Xline

    `;export{m as assetURLs,T as default,g as metadata,h as toc}; diff --git a/zh-cn/index.html b/zh-cn/index.html index 8b308b3..bccaa16 100644 --- a/zh-cn/index.html +++ b/zh-cn/index.html @@ -5,7 +5,7 @@ 达坦科技 - +