bellperson
This is a fork of the great bellman library.
bellman
is a crate for building zk-SNARK circuits. It provides circuit traits and primitive structures, as well as basic gadget implementations such as booleans and number abstractions.
Backend
There is currently one backend available for the implementation of Bls12 381:
GPU
This fork contains GPU parallel acceleration to the FFT and Multiexponentation algorithms in the groth16 prover codebase under the compilation features cuda
and opencl
.
Requirements
- NVIDIA or AMD GPU Graphics Driver
- OpenCL
( For AMD devices we recommend ROCm )
Environment variables
The gpu extension contains some env vars that may be set externally to this library.
-
BELLMAN_NO_GPU
Will disable the GPU feature from the library and force usage of the CPU.
// Example env::set_var("BELLMAN_NO_GPU", "1");
-
BELLMAN_VERIFIER
Chooses the device in which the batched verifier is going to run. Can be
cpu
,gpu
orauto
.Example env::set_var("BELLMAN_VERIFIER", "gpu");
-
BELLMAN_CUSTOM_GPU
Will allow for adding a GPU not in the tested list. This requires researching the name of the GPU device and the number of cores in the format
["name:cores"]
.// Example env::set_var("BELLMAN_CUSTOM_GPU", "GeForce RTX 2080 Ti:4352, GeForce GTX 1060:1280");
-
BELLMAN_CPU_UTILIZATION
Can be set in the interval [0,1] to designate a proportion of the multiexponenation calculation to be moved to cpu in parallel to the GPU to keep all hardware occupied.
// Example env::set_var("BELLMAN_CPU_UTILIZATION", "0.5");
-
RAYON_NUM_THREADS
Restricts the number of threads used in the library to roughly twice that number (best effort). In the past this was done using
BELLMAN_NUM_CPUS
which is now deprecated. The default is set to the number of logical cores reported on the machine.// Example env::set_var("RAYON_NUM_THREADS", "6");
-
BELLMAN_GPU_FRAMEWORK
Bellman can be compiled with both, OpenCL and CUDA support. When both are available,
BELLMAN_GPU_FRAMEWORK
can be used to set it to a specific one, eithercuda
oropencl
.// Example env::set_var("BELLMAN_GPU_FRAMEWORK", "opencl");
-
BELLMAN_CUDA_NVCC_ARGS
By default the CUDA kernel is compiled for several architectures, which may take a long time.
BELLMAN_CUDA_NVCC_ARGS
can be used to override those arguments. The input and output file will still be automatically set.// Example for compiling the kernel for only the Turing architecture env::set_var("BELLMAN_CUDA_NVCC_ARGS", "--fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75");
Supported / Tested Cards
Depending on the size of the proof being passed to the gpu for work, certain cards will not be able to allocate enough memory to either the FFT or Multiexp kernel. Below are a list of devices that work for small sets. In the future we will add the cuttoff point at which a given card will not be able to allocate enough memory to utilize the GPU.
Device Name | Cores | Comments |
---|---|---|
Quadro RTX 6000 | 4608 | |
TITAN RTX | 4608 | |
Tesla V100 | 5120 | |
Tesla P100 | 3584 | |
Tesla T4 | 2560 | |
Quadro M5000 | 2048 | |
GeForce RTX 3090 | 10496 | |
GeForce RTX 3080 | 8704 | |
GeForce RTX 3070 | 5888 | |
GeForce RTX 2080 Ti | 4352 | |
GeForce RTX 2080 SUPER | 3072 | |
GeForce RTX 2080 | 2944 | |
GeForce RTX 2070 SUPER | 2560 | |
GeForce GTX 1080 Ti | 3584 | |
GeForce GTX 1080 | 2560 | |
GeForce GTX 2060 | 1920 | |
GeForce GTX 1660 Ti | 1536 | |
GeForce GTX 1060 | 1280 | |
GeForce GTX 1650 SUPER | 1280 | |
GeForce GTX 1650 | 896 | |
gfx1010 | 2560 | AMD RX 5700 XT |
gfx906 | 7400 | AMD RADEON VII |
------------------------ | ------- | ---------------- |
Running Tests
RUSTFLAGS="-C target-cpu=native" cargo test --release --all
To run using CUDA and OpenCL, you can use:
RUSTFLAGS="-C target-cpu=native" cargo test --release --all --features cuda,opencl
To run the multiexp_consistency test you can use:
RUST_LOG=info cargo test --features cuda,opencl -- --exact multiexp::gpu_multiexp_consistency --nocapture
Considerations
Bellperson uses rust-gpu-tools
as its CUDA/OpenCL backend, therefore you may see a directory named ~/.rust-gpu-tools
in your home folder, which contains the compiled binaries of OpenCL kernels used in this repository.
License
Licensed under either of
- Apache License, Version 2.0, |LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.