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kbkminer

GPU CUDA Miner for Bismuth.

Install instructions (Ubuntu Linux 20.04 Server):

  • Install Ubuntu 20.04 server on a PC with at least one Nvidia GPU, memory requirement on GPU at least 1075MiB.
  • Boot into the new server and do the following sudo apt update sudo apt upgrade sudo reboot
  • Write apt search nvidia-driver and find a suitable driver for your system.
  • In this example we choose the following: sudo apt install nvidia-headless-470-server When finished, reboot
  • sudo apt install nvidia-utils-470-server followed by nvidia-smi -q | grep "Product Name" Make sure that at least one GPU is detected.
  • git clone https://github.com/Bismuthfoundation/Bismuth.git followed by cd Bismuth
  • sudo apt install python3-pip followed by pip3 install -r requirements-node.txt
  • screen -mS node python3 node.py You need to wait a while for the Junction Noise file to be created and the ledger bootstrapped and synced. While you wait you can press Ctrl-A dto detach from the screen session, and screen -r node to go back.
  • cd ~ git clone https://github.com/Bismuthfoundation/Optipoolware.git
  • cd Optipoolware pip3 install -r requirements.txt
  • cp optipoolware.py ../Bismuth cp pool.txt ../Bismuth
  • cd ~/Bismuth screen -mS pool python3 optipoolware.py You can press Ctrl-A dto detach from the pool session, and screen -r pool to go back.
  • sudo apt install nvidia-cuda-toolkit followed by nvcc --version to check the version. In this example V10.1.243 was used.
  • cd ~ git clone https://github.com/Bismuthfoundation/kbkminer.git
  • sudo apt install cmake sudo apt install python3-pybind11
  • cd kbkminer chmod u+x mycompile.sh ./mycompile.sh
  • Edit miner.txt to use your own miner_address
  • cp optihash.py ../Bismuth cp miner.txt ../Bismuth cp bis.so ../Bismuth
  • Do not start the miner before the ledger is fully synced. The variable last_block_ago should be less than 300 seconds. Check with cd ~/Bismuth python3 commands.py statusget
  • cd ~/Bismuth screen -mS miner python3 optihash.py You can press Ctrl-A dto detach from the miner session, and screen -r miner to go back.

Install instructions (Ubuntu 20.04 Desktop ISO):

If you want to install kbkminer on the Ubuntu 20.04 Desktop edition, instead of the Server edition, use the following minor modifications instead:

  • sudo apt install nvidia-driver-470 followed by sudo apt install git

Install instructions (Ubuntu 18.04 Desktop ISO):

  • Install Ubuntu 18.04 desktop on a PC with at least one Nvidia GPU, memory requirement on GPU at least 1075MiB.
  • Boot into the new server and do the following sudo apt update sudo apt upgrade sudo reboot
  • sudo apt install build-essential dkms freeglut3 freeglut3-dev libxi-dev libxmu-dev
  • wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
  • sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
  • sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
  • sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
  • sudo apt update sudo apt install cuda-10-1
  • Reboot the PC
  • Check the CUDA version with nvcc --version. In this example V10.1.243 was used.
  • export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}
  • export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
  • sudo apt install python3-venv git python3.8 python3.8-venv python3.8-dev
  • python3.8 -m venv myenv
  • source myenv/bin/activate
  • sudo apt install python3-pip
  • git clone https://github.com/Bismuthfoundation/Bismuth.git followed by cd Bismuth
  • pip3 install wheel
  • sudo apt install autoconf libtool libffi-dev
  • pip3 install -r requirements-node.txt
  • screen -mS node python3 node.py You need to wait a while for the Junction Noise file to be created and the ledger bootstrapped and synced. While you wait you can press Ctrl-A d to detach from the screen session, and screen -r node to go back.
  • cd ~ git clone https://github.com/Bismuthfoundation/Optipoolware.git
  • cd Optipoolware pip3 install -r requirements.txt
  • cp optipoolware.py ../Bismuth cp pool.txt ../Bismuth
  • cd ~/Bismuth screen -mS pool python3 optipoolware.py You can press Ctrl-A dto detach from the pool session, and screen -r pool to go back.
  • sudo apt install cmake gcc-8 g++-8
  • cd ~ git clone https://github.com/pybind/pybind11.git
  • cd pybind11 cmake . make sudo make install
  • cd ~ git clone https://github.com/Bismuthfoundation/kbkminer.git
  • cd kbkminer chmod u+x mycompile.sh ./mycompile.sh
  • Edit miner.txt to use your own miner_address
  • cp optihash.py ../Bismuth cp miner.txt ../Bismuth cp bis.so ../Bismuth
  • Do not start the miner before the ledger is fully synced. The variable last_block_ago should be less than 300 seconds. Check with cd ~/Bismuth python3 commands.py statusget
  • cd ~/Bismuth screen -mS miner python3 optihash.py You can press Ctrl-A dto detach from the miner session, and screen -r miner to go back.

Notes

The pool will use the Bismuth address in the node wallet, found in the file wallet.der. If you want to solo mine, you can mine directly to this address by editing the file miner.txt and make the miner_address equal to the address in wallet.der. In this case, you can also edit min_payout in pool.txt to a large number to prevent payout transactions from the pool.

GPU Architecture Configuration:

  • If you are using Nvidia RTX 3060, RTX 3070, RTX 3080 or RTX 3090 GPUs, you need to update the CMakeLists.txt file in the kbkminer directory before compiling:
# Set the architecture of your CUDA card (update to compute capability 8.6)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode=arch=compute_86,code=sm_86)
  • The NVIDIA RTX 4090 is based on the newer Ada Lovelace architecture, which has a different compute capability of 8.9. To optimize CUDA settings for this card, you should update the CUDA_NVCC_FLAGS to reflect the compute capability 8.9.

Here's how the setting should look for the RTX 4090:

# Set the architecture of your CUDA card (compute capability 8.9 for RTX 4090)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode=arch=compute_89,code=sm_89)

Pool Configuration:

When running the pool optipoolware.py, try adjusting the mine_diff setting in pool.txt to find the optimal value.

Example value:

mine_diff=84

Successful testing environments:

  • Ubuntu 18.04, Ubuntu 20.04, Ubuntu 22.04
  • Nvidia driver version 470, 550
  • CUDA version 12.4
  • Nvidia cuda toolkit V10.1.243 and V11.5.119

Graphics Cards Hashrate Statistics

Bismuth Mining Algorithm

A custom GPU-based SHA-224 mining algorithm for the Bismuth cryptocurrency.

Miner Software

  • kbkminer

Hashrates for Supported Graphics Cards

Below are the hashrates achieved using kbkminer on various NVIDIA graphics cards:

Graphics Card Hashrate (MH/s)
NVIDIA GeForce RTX 3060 Laptop 930.00
NVIDIA GeForce RTX 3060 Ti Founders Edition 1500.00
NVIDIA GeForce RTX 3070 1800.00
NVIDIA GeForce RTX 3090 3100.00
NVIDIA PNY GeForce RTX 4070 Super 3000.00
NVIDIA GeForce RTX 4090 7000.00

The table provides an indication of the achievable hashrate with the listed GPUs.