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24 Fall: update
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### November 05

- πŸ’‘ [SOSP'24] [ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation](https://arxiv.org/abs/2405.14009)
- πŸ’‘ [SOSP'24] [ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation](https://dl.acm.org/doi/10.1145/3694715.3695960)
- πŸ™Žβ€β™‚οΈ Wenhao Huang, Yichi Chen, Yanjie Wang **(*all from* TJU, Tianjin University)**
- [πŸ“• slides](./slides/241105-ReCycle.pdf), [πŸ“ƒ Q&A summary](https://zhuanlan.zhihu.com/p/6420565955), [πŸ“Ί video](https://www.bilibili.com/video/BV13nDTYgEiF)

### November 12

- πŸ’‘ [SOSP'24] [TENPLEX: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections](https://arxiv.org/abs/2312.05181)
- πŸ’‘ [SOSP'24] [TENPLEX: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections](https://dl.acm.org/doi/10.1145/3694715.3695975)
- πŸ™Žβ€β™‚οΈ Zhaolin Duan, Yuhang Zhang, Yihan Wang **(*all from* TJU, Tianjin University)**
- [πŸ“• slides](./slides/241112-Tenplex.pdf), [πŸ“ƒ Q&A summary](https://zhuanlan.zhihu.com/p/7243017253), [πŸ“Ί video](https://www.bilibili.com/video/BV1LgmaYVEbb)

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- πŸ™Žβ€β™‚οΈ Zheng Yang, Yicheng Zhang
- [πŸ“• slides](./slides/241119-UGache.pdf), [πŸ“Ί video](https://www.bilibili.com/video/BV1E2ScYNEnt)

### πŸ”₯ November 26
### November 26
- πŸ’‘ [SOSP'24] [BIZA: Design of Self-Governing Block-Interface ZNS AFA for Endurance and Performance](https://dl.acm.org/doi/pdf/10.1145/3694715.3695953)
- πŸ™Žβ€β™‚οΈ Jingze Huo, Qingyuan Chen
- [πŸ“• slides](./slides/241126-BIZA.pdf), [πŸ“Ί video](https://www.bilibili.com/video/BV1NXzVYpEpo)

### December 03
### πŸ”₯ December 03

- πŸ’‘ [SOSP'24] [LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism](https://arxiv.org/abs/2404.09526)
- πŸ’‘ [SOSP'24] [LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism](https://dl.acm.org/doi/10.1145/3694715.3695948)
- πŸ™Žβ€β™‚οΈ Zewen Jin, Hongrui Zhan, Shen Fu

### December 10

- πŸ’‘ [SOSP'24] [PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU](https://arxiv.org/abs/2312.12456)
- πŸ’‘ [SOSP'24] [PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU](https://dl.acm.org/doi/10.1145/3694715.3695964)
- πŸ™Žβ€β™‚οΈ Haiquan Wang, Jia He, Jiaqi Ruan

### December 17
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