cuda-kernels 0.1.0

CUDA accelerated correlation and sum reduction functions

CUDA Kernels

A Python package containing CUDA-accelerated functions for autocorrelation and sum reduction operations.

Installation

Requirements

• NVIDIA GPU with CUDA support
• CUDA Toolkit installed (version 11.0 or higher recommended)
• Python 3.6+
• NumPy

Installing from PyPI

pip install cuda-kernels

Installing from source

git clone https://github.com/AstuteFern/cuda-toolkit.git
cd cuda-toolkit
pip install .

Usage

Autocorrelation

import numpy as np
from cuda_kernels.autocorrelation import autocorrelation

# Create some test data
data = np.random.randn(10000).astype(np.float32)

# Compute autocorrelation for lags 0 to 100
result = autocorrelation(data, max_lag=100)

Sum Reduction

import numpy as np
from cuda_kernels.reduction import reduction_sum

# Create some test data
data = np.random.randn(10000).astype(np.float32)

# Compute sum
result = reduction_sum(data)
print(f"Sum: {result}")

License

This project is licensed under the MIT License - see the LICENSE file for details.