The arkworks ecosystem consist of Rust libraries for designing and working with zero knowledge succinct non-interactive arguments (zkSNARKs). This repository contains an efficient implementation of the zkSNARK of [Groth16].
This library is released under the MIT License and the Apache v2 License (see License).
WARNING: This is an academic proof-of-concept prototype, and in particular has not received careful code review. This implementation is NOT ready for production use.
The library compiles on the stable
toolchain of the Rust compiler. To install the latest version of Rust, first install rustup
by following the instructions here, or via your platform's package manager. Once rustup
is installed, install the Rust toolchain by invoking:
rustup install stable
After that, use cargo
(the standard Rust build tool) to build the library:
git clone https://github.com/GRT-Ltd/groth16.git
Run bench by cpu
cargo bench
Run bench by gpu
cargo bench --features "cuda"
Lastly, this library is instrumented with profiling infrastructure that prints detailed traces of execution time. To enable this, compile with
Run bench by cpu for tracking logs
cargo bench --features "print-trace"
Run bench by gpu for tracking logs
cargo bench --features "cuda print-trace"
Add CUDA code to FFT, MSM, tracking logs, detailed code can be found in the project is as follows:
// GRT modify
This library is licensed under either of the following licenses, at your discretion.
- Apache License Version 2.0 (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)
Unless you explicitly state otherwise, any contribution submitted for inclusion in this library by you shall be dual licensed as above (as defined in the Apache v2 License), without any additional terms or conditions.
This work was supported by: a Google Faculty Award; the National Science Foundation; the UC Berkeley Center for Long-Term Cybersecurity; and donations from the Ethereum Foundation, the Interchain Foundation, and Qtum.
An earlier version of this library was developed as part of the paper "ZEXE: Enabling Decentralized Private Computation".