Zero Knowledge Proofs (ZKPs) are considered one of the greatest achievements of modern cryptography. Accordingly, ZKPs are expected to disrupt a number of industries and will usher in an era of trustless and privacy preserving services and infrastructure.

We believe that ICICLE will be a cornerstone in the acceleration of ZKPs:

• Versatility: Supports multiple hardware platforms, making it adaptable to various computational environments.
• Efficiency: Designed to leverage the parallel nature of ZK computations, whether on GPUs, CPUs, or other accelerators.
• Scalability: Provides an easy-to-use and scalable solution for developers, allowing them to optimize cryptographic operations with minimal effort.

This guide will help you get started with ICICLE in C++, Rust, and Go.

• Any compatible hardware: ICICLE supports various hardware, including CPUs, Nvidia GPUs, and other accelerators.
• CMake, Version 3.18 or above. Latest version recommended. Required only if building from source.
• CUDA Toolkit, Required only if using NVIDIA GPUs (version 12.0 or newer).

If you don't have access to an Nvidia GPU we have some options for you.

Google Colab offers a free T4 GPU instance and ICICLE can be used with it, reference this guide for setting up your Google Colab workplace.

If you require more compute and have an interesting research project, we have bounty and grant programs.

ICICLE provides build systems for C++, Rust, and Go. Each build system incorporates the core ICICLE library, which contains the essential cryptographic primitives. Refer to the Getting started page for full details about building and using ICICLE.

In cargo.toml, specify the ICICLE libs to use:

[dependencies]
icicle-runtime = { git = "https://github.com/ingonyama-zk/icicle.git", branch="main" }
icicle-core = { git = "https://github.com/ingonyama-zk/icicle.git", branch="main" }
icicle-babybear = { git = "https://github.com/ingonyama-zk/icicle.git", branch="main" }
# add other ICICLE crates here if need additional fields/curves

You can specify branch=branch-name, tag=tag-name, or rev=commit-id.

Build the Rust project:

cargo build --release

There are two ways to build from source in Go:

1. Clone the repo, update your go.mod to point to the local clone, and build ICICLE within the clone

git clone https://github.com/ingonyama-zk/icicle.git

Add ICICLE v3 to your go.mod file:

require github.com/ingonyama-zk/icicle/v3 v3.0.0

replace github.com/ingonyama-zk/icicle/v3 => ../path/to/cloned/icicle

Navigate to the cloned repo's golang bindings and build the library using the supplied build script

cd icicle/wrappers/golang
chmod +x build.sh
./build.sh -curve=bn254

2. Update your go.mod to include ICICLE as a dependency, navigate to the dependency in your GOMODCACHE and build ICICLE there

go get github.com/ingonyama-zk/icicle/v3
cd $(go env GOMODCACHE)/github.com/ingonyama-zk/icicle/v3@<version>/wrappers/golang
chmod +x build.sh
./build.sh -curve=bn254

Once ICICLE has been built, you can add specific packages when you need them in your application:

import (
  runtime "github.com/ingonyama-zk/icicle/v3/wrappers/golang/runtime"
  core "github.com/ingonyama-zk/icicle/v3/wrappers/golang/core"
  bn254 "github.com/ingonyama-zk/icicle/v3/wrappers/golang/curves/bn254"
  bn254MSM "github.com/ingonyama-zk/icicle/v3/wrappers/golang/curves/bn254/msm"
)

ICICLE can be built and tested in C++ using CMake. The build process is straightforward, but there are several flags you can use to customize the build for your needs.

Clone the ICICLE repository:

git clone https://github.com/ingonyama-zk/icicle.git
cd icicle

Configure the build:

mkdir -p build && rm -rf build/*
cmake -S icicle -B build -DFIELD=babybear

Build the project:

cmake --build build -j # -j is for multi-core compilation

Link you application (or library) to ICICLE:

target_link_libraries(yourApp PRIVATE icicle_field_babybear icicle_device)

Install (optional):

To install the libs, specify the install prefix -DCMAKE_INSTALL_PREFIX=/install/dir/. Then after building, use cmake to install the libraries:

cmake -S icicle -B build -DFIELD=babybear -DCMAKE_INSTALL_PREFIX=/path/to/install/dir/
cmake --build build -j # build
cmake --install build # install icicle to /path/to/install/dir/

Run tests (optional):

Add -DBUILD_TESTS=ON to the cmake command, build and execute tests:

cmake -S icicle -B build -DFIELD=babybear -DBUILD_TESTS=ON
cmake --build build -j
cd build/tests
ctest

or choose the test-suite

./build/tests/test_field_api # or another test suite
# can specify tests using regex. For example for tests with ntt in the name:
./build/tests/test_field_api --gtest_filter="*ntt*"

Build Flags:

You can customize your ICICLE build with the following flags:

• -DCPU_BACKEND=ON/OFF: Enable or disable built-in CPU backend. default=ON.
• -DCMAKE_INSTALL_PREFIX=/install/dir: Specify install directory. default=/usr/local.
• -DBUILD_TESTS=ON/OFF: Enable or disable tests. default=OFF.
• -DBUILD_BENCHMARKS=ON/OFF: Enable or disable benchmarks. default=OFF.

To install the CUDA backend

1. Download the release binaries.
2. Install it, by extracting the binaries to /opt/ or any other custom install path.
3. In your application, load the cuda backend and select a CUDA device.
4. All subsequent API will now use the selected device.

Rust:

use icicle_runtime::{runtime, Device};

runtime::load_backend_from_env_or_default().unwrap();
// or load programmatically
runtime::load_backend("/path/to/backend/installdir").unwrap();
// Select CUDA device
let device = Device::new("CUDA", 1 /*gpu-id*/);
icicle_runtime::set_device(&device).unwrap();

// Any call will now execute on GPU-1

Go:

import(
  "github.com/ingonyama-zk/icicle/v3/wrappers/golang/runtime"
)

result := runtime.LoadBackendFromEnvOrDefault()
// or load from custom install dir
result := runtime.LoadBackend("/path/to/backend/installdir", true)
// Select CUDA device
device := runtime.CreateDevice("CUDA", 0) // or other
result := runtime.SetDevice(device)

// Any call will now execute on GPU-0

C++:

#include "icicle/runtime.h"

// Load the installed backend
eIcicleError result = icicle_load_backend_from_env_or_default();
// or load it programmatically
eIcicleError result = icicle_load_backend("/path/to/backend/installdir", true);

// Select CUDA device
icicle::Device device = {"CUDA", 0 /*gpu-id*/};
eIcicleError result = icicle_set_device(device);

// Any call will now execute on GPU-0

Full details can be found in our getting started docs

Join our Discord Server and find us on the ICICLE channel. We will be happy to work together to support your use case, and talk features, bugs and design.

If you are changing code, please make sure to change your git hooks path to the repo's hooks directory by running the following command:

git config core.hooksPath ./scripts/hooks

In case clang-format is missing on your system, you can install it using the following command:

sudo apt install clang-format

You will also need to install codespell to check for typos.

This will ensure our custom hooks are run and will make it easier to follow our coding guidelines.

• Robik, for his ongoing support and mentorship
• liuxiao, for being a top notch bug smasher
• gkigiermo, for making it intuitive to use ICICLE in Google Colab
• nonam3e, for adding Grumpkin curve support into ICICLE
• alxiong, for adding warmup for CudaStream
• cyl19970726, for updating go install source in Dockerfile
• PatStiles, for adding Stark252 field

For help and support talk to our devs in our discord channel #ICICLE or contact us at [email protected].

ICICLE frontend is distributed under the terms of the MIT License.

See LICENSE-MIT for details.