rust-accel 0.1.4

Safe, fast Rust kernels exposed to Python via PyO3

rust_accel

rust_accel is a Rust-accelerated Python extension module built with PyO3 and maturin, designed to speed up computation-heavy numerical workloads while keeping a clean, Python-native API.

It is ideal for performance-critical paths in data processing, numerical optimization, and machine-learning pipelines where Python ergonomics and Rust speed are both required.

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Features

• High-performance Rust kernels exposed to Python
• Seamless NumPy-compatible API
• Parallelized computation using Rayon
• Clean python/ source layout (no import shadowing)
• Prebuilt wheels via maturin
• Memory-safe Rust implementation

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Installation

From PyPI (recommended)

pip install rust-accel

From source (development)

git clone https://github.com/0rlych1kk4/rust_accel.git
cd rust_accel
python -m venv .venv
source .venv/bin/activate
pip install -U pip maturin
maturin develop

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Usage

optimize_reconstruction

Computes a batched dot-product–style loss between an input matrix and multiple gradient matrices.

import numpy as np
import rust_accel

x = np.ones((2, 3), dtype=np.float32)

grads = np.stack([
    np.full((2, 3), 2, np.float32),
    np.full((2, 3), 3, np.float32),
], axis=0)

loss = rust_accel.optimize_reconstruction(x, grads)
print(loss)  # 30.0

### clone_grad
Creates a Rust-side copy of a NumPy array and returns it as a flat Python list.

```python
import numpy as np
import rust_accel

x = np.ones((2, 3), dtype=np.float32)
flat = rust_accel.clone_grad(x)

print(len(flat))     # 6
print(flat[:3])      # [1.0, 1.0, 1.0]

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Real-World Use Cases

• Accelerating inner loops in ML / optimization pipelines
• High-frequency numerical aggregation
• Scientific computing with Python frontends
• Hybrid Python–Rust systems where correctness and speed matter
• Safe native extensions without manual memory management

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Contributing

We welcome contributions to the rust_accel project! If you'd like to contribute, please follow these steps:

1. Fork this repository to your GitHub account.
2. Clone your forked repository to your local machine:

   git clone https://github.com/yourusername/rust_accel.git