- this is special for 2080Ti, may not work with any other GPU cards. because different gpu have different cuda-cores and mem.
- some calculations with cpus change to parallel.
- change params special for 2080Ti. because it has 68 SMs and 64 SP per SM.
- we are going on with more optimizations. May 100s even more can be saved.
- Team work requests are welcome!
From ZQBC
- get the code:
cd ../lotus_code_path && git clone https://github.com/jackoelv/bellperson.git && git checkout origin/2080Ti
- patch the filecoin-ffi submodule
cd ./lotus_code_path && git submodule update --init --recursive
cd ./lotus_code_path/extern/filecoin-ffi/rust/
vi Cargo.toml
in the end of the file add patch code:
[patch.crates-io]
bellperson = { path = "../../../../bellperson" }
- then update cargo package
cd ./lotus_code_path/extern/filecoin-ffi/rust/
cargo update
cd ./lotus_code_path
RUSTFLAGS="-C target-cpu=native -g" FFI_BUILD_FROM_SOURCE=1 make clean all
Jennifer suggested that I should have a donation wallet.
fils are welcome if you like.
my wallet addr:
f1ki5mgbm4cyz43oamnbvv5bjrqdsvkphuxxs2h4a
the branch is 2080Ti, not the master.
enjoy it!
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.
There are currently two backends available for the implementation of Bls12 381:
They can be selected at compile time with the mutually exclusive features pairing
and blst
. Specifying one of them is enough for a working library, no additional features need to be set.
The default for now is pairing
, as the secure and audited choice.
This fork contains GPU parallel acceleration to the FFT and Multiexponentation algorithms in the groth16 prover codebase under the compilation feature gpu
, it can be used in combination with pairing
or blst
.
- NVIDIA or AMD GPU Graphics Driver
- OpenCL
( For AMD devices we recommend ROCm )
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");
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 |
To run the multiexp_consistency test you can use:
RUST_LOG=info cargo test --features gpu -- --exact multiexp::gpu_multiexp_consistency --nocapture
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.
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.
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.