MatX
A modern C++20 GPU numerical computing library with Python-like syntax for near-native performance on NVIDIA GPUs.
What is MatX?
MatX is a modern C++ library for numerical computing on NVIDIA GPUs and CPUs, offering a Python-like syntax for ease of use while achieving near-native performance. It solves the problem of complex, low-level GPU programming by providing an intuitive API that leverages optimized backend libraries and efficient kernel generation, enabling significant speedups over alternatives like NumPy and CuPy.
Developers and researchers working in high-performance computing, scientific computing, or machine learning who need efficient GPU-accelerated numerical operations with a simpler syntax, particularly those familiar with Python or MATLAB.
Developers choose MatX for its unique combination of high performance and ease of use, offering up to 2100x speedups over NumPy and 4x over CuPy while maintaining a syntax that reduces the learning curve and integration effort compared to traditional CUDA programming.
Overview
An efficient C++20 GPU numerical computing library with Python-like syntax
Use Cases
Best For
- Accelerating numerical computations on NVIDIA GPUs with minimal code changes
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