- A Linux machine (WSL2 should work as well, although it's not covered in this guide. Feel free to open a PR and add it to this guide)
- The API key to your Sister Margaret's account (register at https://sismargaret.fact0rn.io/, then get the API key from https://sismargaret.fact0rn.io/profile)
- Install docker (guide)
- If you're using GPU: Install NVIDIA driver (guide) and CUDA (guide)
- If you're using GPU: Install and configure nvidia-container-toolkit (guide, make sure to do the "Configuring Docker" step as well)
git clone https://github.com/FACT0RN/SieverDispersion
cd SieverDispersion
nano api_token.txt
# Paste your Sister Margaret's API key into api_token.txt
Afterwards, run ./CPUStartMiner_AVX512.sh
if your CPU supports AVX512IFMA, or run ./CPUMinerStart.sh
if it doesn't.
If you're not 100% sure, run ./checkAVX512Support.sh
and follow its suggestion.
git clone https://github.com/FACT0RN/SieverDispersion
cd SieverDispersion
nano api_token.txt
# Paste your Sister Margaret's API key into api_token.txt
./GPUMinerStart.sh
If you want to utilize both CPU and GPU, run ./CPUMinerStart.sh
in another terminal tab
Run git pull
, and then run CPUMinerStart.sh (or CPUMinerStart_AVX512.sh, or GPUMinerStart.sh)