bellperson Crates.io

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.

GPU

This fork contains GPU parallel acceleration to the FFT and Multiexponentation algorithms in the groth16 prover codebase under a conditional compilation feature #[cfg(feature = "gpu")] and gpu-test for testing.

Requirements

( For AMD devices we recommend ROCm )

Environment variables

The gpu extension contains some env vars that may be set externally to this library.

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 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 |

Running Tests

To run the multiexp_consistency test you can use:

bash RUST_LOG=info cargo test --features gpu -- --exact multiexp::gpu_multiexp_consistency --nocapture

Considerations

Bellperson uses rust-gpu-tools as its 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

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.