# Numerical Analysis Tools

**MATLAB ** by Mathworks, enables you to use NVIDIA GPUs to accelerate AI, deep learning, and other computationally intensive analytics without having to be a CUDA programmer.

**Mathematica** by Wolfram is a comprehensive technical computing solution, enabling complex computational applications to be build, and with native GPU acceleration.

**ArrayFire **Comprehensive GPU function library, including functions for math, signal and image processing, statistics, and more. Interfaces for C, C++, Fortran, and Python.

**IMSL Fortran Numerical Library **is a comprehensive set of mathematical and statistical functions that developers can embed into their Fortran software applications.

**LabView **enables engineers and scientists to create applications using a powerful high level programming language and advanced tools, and now features GPU acceleration support.

**NMath Premium** takes advantage of the NVIDIA CUDA architecture to dramatically accelerate mathematics on the .NET platform, including a 2-4x speed-up for many math functions without any code changes.

**Looking for expert advice on how to best use the numerical capabilities of your GPU?**Try reviewing the documentation and educational materials below or get in touch with industry experts and NVIDIA engineers on the CUDA Developer forums

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