Aloe-SIMD

Aloe-SIMD is a Rust crate for leveraging SIMD (Single Instruction, Multiple Data) instructions in computational tasks. This crate facilitates high-performance numerical computations by utilizing parallel processing capabilities of modern CPUs, thus enhancing the throughput in data processing applications.

Features

• Efficiently processes large datasets using SIMD parallelism.
• Optimized for performance-critical applications, providing significant speed-ups in operations involving linear algebra and vectorized computations.
• Designed with an intuitive API for easy integration into existing Rust projects.

Usage

First, add aloe-simd to your Cargo.toml:

[dependencies]
aloe-simd = "0.1.0"

Next, import and use it in your Rust code:

use aloe_simd::vector_operations;

fn main() {
    let a = vec![1.0, 2.0, 3.0];
    let b = vec![4.0, 5.0, 6.0];
    let result = vector_operations::add(&a, &b);
    println!("Result: {:?}", result);
}

Contributing

Contributions are welcomed! Please check the project's repository on GitHub for guidelines and more details.

License

Licensed under GPL-3.0.

This README.md file was generated by an AI model and may not be 100% accurate; however, it should be pretty good.

This crate is a translation of the JUCE module.

JUCE is a c++ software framework for developing high performance audio applications.

Usage falls under the GPLv3 as well as the JUCE commercial license.

See github.com/juce-framework/JUCE and the JUCE license page for details.

This crate is in the process of being translated from c++ to rust. For progress updates, please see the workspacer rust project. designed specifically for rust projects.