Aleo Light Prover

Introduction

A standalone Aleo prover build upon snarkOS and snarkVM, with multi-threading optimization.

It's called "light" because it won't spin up a full node, but instead will only run the prover part.

This prover only supports operators using my modified code as it relies on the custom messaging protocol to work properly.

Building

Install the dependencies:

rust (>= 1.56)
clang
libssl-dev
pkg-config

Run cargo build --release to build the binary.

Usage

Please refer to the usage help (target/release/aleo-prover --help):

prover 0.2.2
Standalone prover.

USAGE:
    aleo-prover [FLAGS] [OPTIONS] --address <address> --pool <pool>

FLAGS:
    -d, --debug      Enable debug logging
    -h, --help       Prints help information
    -V, --version    Prints version information

OPTIONS:
    -a, --address <address>    Prover address (aleo1...)
    -g, --cuda <cuda>...       Indexes of GPUs to use (starts from 0)
                               Specify multiple times to use multiple GPUs
                               Example: -g 0 -g 1 -g 2
                               Note: Pure CPU proving will be disabled as each GPU job requires one CPU thread as well
    -j, --cuda-jobs <jobs>     Parallel jobs per GPU, defaults to 1
                               Example: -g 0 -g 1 -j 4
                               The above example will result in 8 jobs in total
    -o, --log <log>            Output log to file
    -p, --pool <pool>          Pool address:port
    -t, --threads <threads>    Number of threads

Use your own address as the prover address, not the pool's address.

Optimizations

You can specify the number of threads to use by --threads option. The prover will use all available threads by default, but it won't use 100% of them all the time. You can try adjusting the number to see if using more threads gives better proof rate.

You can enable debug logging by --debug option. When starting the prover, there will be a debug log which outputs the structure of the thread pools.

GPU support?

GPU support is added in version 0.2.0.

To enable GPU support, use cargo build --release --features enable-cuda when building the binary. Obviously you will need to install the CUDA runtime.

Use -g option to enable GPU support. To use multiple GPUs, use -g multiple times with different GPU indexes.

Use -j option to specify the number of jobs per GPU. The default is 1.

Every GPU job will use a CPU thread as well, so it's really a "GPU accelerated prover" instead of a "GPU prover", as only the scalar multiplication on BLS12-377 curve is GPU accelerated.

snarkVM would load programs to all GPUs in the system but the prover will only use the specified GPUs. It wastes some GPU memory, unfortunately.

Changelog

0.2.2

Added log file support.
Added extra check for -g option.

0.2.1

Removed OpenCL dependency.

0.2.0

Added GPU support.

0.1.0

Initial release.

License

GPL-3.0-or-later