madMAx43v3r/chia-gigahorse v1.8.2.giga22

1.8.2.giga22 Gigahorse 2.0 Node / Farmer

on GitHub

Fixed in this version:

• OpenCL compile failure on AMD / Intel platforms.

New in this version:

• Gigahorse 2.0 plots: Compression Levels C11 to C20
• Improved farming performance by 2x or more for C6 to C9
• New ProofOfSpace farm benchmark to test maximum farm size for a certain partial difficulty (set via --diff)
• CUDA disk plot mode via -3 (8G RAM enough for K32)
• CUDA plotter Direct IO option -D for final copy (local and remote, default disabled)

Limitations:

• The new C11 to C20 is only supported with the CUDA plotter for now
• OpenCL farming support for the new C11 to C20 will come in a later release
• CPU farming the new format is only supported for C11 to C13
• The old C1 to C7 is still better for CPU farming at this point
• Both Node & Farmer & Harvester need to be updated at the same time
• Bladebit plots are not supported

Notes:

• Partial difficulty is now important for maximum farm size, depending on compression level.
• Use ProofOfSpace farm --diff 50000 to benchmark for solo farming.
• chia_recompute_server is backwards compatible to old clients, but needs to be updated for new clients running giga20.

This release provides Chia Blockchain binaries to farm compressed plots created with the new plotters provided in this repository.

The compressed plot harvester and farmer are not compatible with the official Chia node, it only works together with the Gigahorse node. However it's possible to use a wallet from the official Chia repository, instead of the Gigahorse binary wallet.

Both NFT and OG plots are supported, as well as solo and pool farming (via the official pool protocol). Regular uncompressed plots are supported as well, so you can use the Gigahorse version while re-plotting your farm.

The dev fee is as follows:

• 3.125 % when using GPU(s) to farm compressed plots
• 1.562 % when using CPU(s) to farm compressed plots
• 0 % for regular uncompressed plots

The following packages are needed to run on Linux: sudo apt install ocl-icd-libopencl1

Make sure to choose the correct version for your system, see uname -m, usually it's x86_64. aarch64 is the same as arm64.

On Windows:

• You might have to install latest Microsoft Visual C++ Redistributable: https://aka.ms/vs/17/release/vc_redist.x64.exe

Note: Newer AMD GPUs starting with RX 6000 series do not work due to a driver bug, we have to wait for AMD to fix it. Vega series is known to still work when using an older driver with amdgpu-install --opencl=pal,legacy. RX 5000 series is unknown at this point.

Note: See limit-gpu-usage on how to select an OpenCL platform if you have multiple platforms (excluding Nvidia).