Matrix_Operations_Cuda

Matrix_Operations_Cuda is a Rust crate for performing matrix operations using CUDA

Installation

• Matrix_Operations_Cuda

Add the following to your Cargo.toml file:

[dependencies]

matrix_operations_cuda = "0.1.0"

• Matrix_Operations

To works with matrix_operations_cuda, you need to install the core matrix_operations from matrix_operations

Add the following to your Cargo.toml file:

[dependencies]

matrix_operations = "0.1.3"

• CUDA

This crate does NOT include CUDA itself. You need to install on your own. the official installer

Usage

This crate allow to use common operations using cuda:

use matrix_operations::matrix;
use matrix_operations_cuda::{add_matrices, add_scalar, CudaEnv, dot, sub_matrices};

let cuda_env;
unsafe {
    cuda_env = CudaEnv::new(0, 0).unwrap();
}

let m1 = matrix![[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]];
let m2 = matrix![[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]];

let m3;
unsafe {
    m3 = dot(&m1, &m2, &cuda_env).unwrap();
}

assert_eq!(m3[0], [22.0, 28.0]);
assert_eq!(m3[1], [49.0, 64.0]);

let m4;
unsafe {
    m4 = add_scalar(&m3, 10.0, &cuda_env).unwrap();
}

assert_eq!(m4[0], [32.0, 38.0]);
assert_eq!(m4[1], [59.0, 74.0]);

let m5;
unsafe {
    m5 = sub_matrices(&m4, &m3, &cuda_env).unwrap();
}

assert_eq!(m5[0], [10.0, 10.0]);
assert_eq!(m5[1], [10.0, 10.0]);

You also can import your own module from a .ptx file or from a module data as Vec<u8>

use cuda_driver_sys::*;
use matrix_operations_cuda::cuda_env::CudaEnv;
use matrix_operations_cuda::cuda_module::CudaModule;
use matrix_operations::{Matrix, matrix};
use matrix_operations_cuda::matrix_apply::apply_function_matrix;

unsafe {
    let mut cuda_env = CudaEnv::new(0, 0).unwrap();

    let module = CudaModule::new(b"resources/kernel_test.ptx\0").unwrap();
    let function = module.load_function(b"mul_by_2\0").unwrap();

    let matrix = matrix![[1.0, 2.0, 3.0],
                         [4.0, 5.0, 6.0]];

    let result = apply_function_matrix(&matrix, &cuda_env, function).unwrap();

    assert_eq!(result[0], [2.0, 4.0, 6.0]);
    assert_eq!(result[1], [8.0, 10.0, 12.0]);

    module.free().unwrap();
}

Features

• Initialize a cuda environment
• Launch common operations on matrices
• Import and use custom kernel to perform custom operations on matrices
• Allocate and Free memory in GPU
• Copy data between Host and Device