1. Introduction Cysic Labs offers tools for working with cryptography, especially zero-knowledge proofs (ZKPs) and elliptic curves. This guide will walk you through setting up and using these tools with practical examples.

2. Installation Clone the desired repository:

git clone https://github.com/cysic-labs/<repository-name>
cd <repository-name>
cargo build

3. Working with Elliptic Curves

Use elliptic curve operations in Rust:

use elliptic_curve::scalar::Scalar;

fn main() {
    let a = Scalar::from(123);
    let b = Scalar::from(456);
    let result = a * b;
    println!("Multiplication result: {:?}", result);
}

4. Implementing Zero-Knowledge Proofs

Create and verify a ZKP:

use zkp_toolkit::{Prover, Verifier};

fn main() {
    let (proof, public_input) = Prover::new().prove();
    let is_valid = Verifier::new().verify(proof, public_input);
    println!("Proof is valid: {:?}", is_valid);
}

5. GPU Parallel Computing

Utilize CUDA for GPU-based calculations:

__global__ void multiply_scalar(int *a, int *b, int *result) {
    int idx = threadIdx.x + blockIdx.x * blockDim.x;
    result[idx] = a[idx] * b[idx];
}

1. Introduction Cysic Labs offers tools for working with cryptography, especially zero-knowledge proofs (ZKPs) and elliptic curves. This guide will walk you through setting up and using these tools with practical examples.

2. Installation Clone the desired repository:

git clone https://github.com/cysic-labs/<repository-name>
cd <repository-name>
cargo build

3. Working with Elliptic Curves

Use elliptic curve operations in Rust:

use elliptic_curve::scalar::Scalar;

fn main() {
    let a = Scalar::from(123);
    let b = Scalar::from(456);
    let result = a * b;
    println!("Multiplication result: {:?}", result);
}

4. Implementing Zero-Knowledge Proofs

Create and verify a ZKP:

use zkp_toolkit::{Prover, Verifier};

fn main() {
    let (proof, public_input) = Prover::new().prove();
    let is_valid = Verifier::new().verify(proof, public_input);
    println!("Proof is valid: {:?}", is_valid);
}

5. GPU Parallel Computing

Utilize CUDA for GPU-based calculations:

__global__ void multiply_scalar(int *a, int *b, int *result) {
    int idx = threadIdx.x + blockIdx.x * blockDim.x;
    result[idx] = a[idx] * b[idx];
}