Installing via cargo install
is not supported for the latest version.
The regular version is still available at
cargo install kaspa-miner
If you are looking to build from the repository (for debug / extension), note that the plugins are additional packages in the workspace. To compile a specific package, you run the following command or any subset of it
git clone [email protected]:tmrlvi/kaspa-miner.git
cd kaspa-miner
cargo build --release -p kaspa-miner -p kaspacuda -p kaspaopencl
And, the miner (and plugins) will be in targets/release
. You can replace the last line with
cargo build --release --all
The release page includes precompiled binaries for Linux, and Windows (for the GPU version).
To remove a plugin, you simply remove the corresponding dll
/so
for the directory of the miner.
libkaspacuda.so
,libkaspacuda.dll
: Cuda support for Kaspa-Minerlibkaspaopencl.so
,libkaspaopencl.dll
: OpenCL support for Kaspa-Miner
To start mining, you need to run kaspad and have an address to send the rewards to. Here is a guidance on how to run a full node and how to generate addresses: https://github.com/kaspanet/docs/blob/main/Getting%20Started/Full%20Node%20Installation.md
Help:
kaspa-miner
A Kaspa high performance CPU miner
USAGE:
kaspa-miner [OPTIONS] --mining-address <MINING_ADDRESS>
OPTIONS:
-a, --mining-address <MINING_ADDRESS> The Kaspa address for the miner reward
--cuda-device <CUDA_DEVICE> Which CUDA GPUs to use [default: all]
--cuda-disable Disable cuda workers
--cuda-lock-core-clocks <CUDA_LOCK_CORE_CLOCKS> Lock core clocks eg: ,1200, [default: 0]
--cuda-lock-mem-clocks <CUDA_LOCK_MEM_CLOCKS> Lock mem clocks eg: ,810, [default: 0]
--cuda-no-blocking-sync Actively wait for result. Higher CPU usage, but less red blocks. Can have lower workload.
--cuda-power-limits <CUDA_POWER_LIMITS> Lock power limits eg: ,150, [default: 0]
--cuda-workload <CUDA_WORKLOAD> Ratio of nonces to GPU possible parrallel run [default: 64]
--cuda-workload-absolute The values given by workload are not ratio, but absolute number of nonces [default: false]
-d, --debug Enable debug logging level
--devfund-percent <DEVFUND_PERCENT> The percentage of blocks to send to the devfund (minimum 2%) [default: 2]
--experimental-amd Uses SMID instructions in AMD. Miner will crash if instruction is not supported
-h, --help Print help information
--mine-when-not-synced Mine even when kaspad says it is not synced
--nonce-gen <NONCE_GEN> The random method used to generate nonces. Options: (i) xoshiro (ii) lean [default: lean]
--opencl-amd-disable Disables AMD mining (does not override opencl-enable)
--opencl-device <OPENCL_DEVICE> Which OpenCL GPUs to use on a specific platform
--opencl-enable Enable opencl, and take all devices of the chosen platform
--opencl-no-amd-binary Disable fetching of precompiled AMD kernel (if exists)
--opencl-platform <OPENCL_PLATFORM> Which OpenCL platform to use (limited to one per executable)
--opencl-workload <OPENCL_WORKLOAD> Ratio of nonces to GPU possible parrallel run in OpenCL [default: 512]
--opencl-workload-absolute The values given by workload are not ratio, but absolute number of nonces in OpenCL [default: false]
-p, --port <PORT> Kaspad port [default: Mainnet = 16110, Testnet = 16211]
-s, --kaspad-address <KASPAD_ADDRESS> The IP of the kaspad instance [default: 127.0.0.1]
-t, --threads <NUM_THREADS> Amount of CPU miner threads to launch [default: 0]
--testnet Use testnet instead of mainnet [default: false]
To start mining, you just need to run the following:
./kaspa-miner --mining-address kaspa:XXXXX
This will run the miner on all the available GPU devcies.
The devfund is a fund managed by the Kaspa community in order to fund Kaspa development
A miner that wants to mine higher percentage into the dev-fund can pass the following flags:
--devfund-precent=XX.YY
to mine only XX.YY% of the blocks into the devfund.
This version automatically sets the devfund donation to the community designated address. Due to community decision, the minimum amount in the precompiled binaries is 2%
Elichai: kaspa:qzvqtx5gkvl3tc54up6r8pk5mhuft9rtr0lvn624w9mtv4eqm9rvc9zfdmmpu
HauntedCook: kaspa:qz4jdyu04hv4hpyy00pl6trzw4gllnhnwy62xattejv2vaj5r0p5quvns058f