Introduction to GPU Computing with MATLAB

Explore MATLAB GPU Computing Support for NVIDIA CUDA-Enabled GPUs: GPU computing is a widely adopted technology that uses the power of GPUs to accelerate computationally intensive workflows. Since 2010, Parallel Computing Toolbox has provided GPU Computing support for MATLAB. Although GPUs were originally developed for graphics rendering, they are now used generally to accelerate applications in fields such as scientific computing, engineering, artificial intelligence, and financial analysis. Using Parallel Computing Toolbox, you can leverage NVIDIA GPUs to accelerate your application directly from MATLAB. MATLAB provides a direct interface for accelerating computationally intensive workflows on GPUs for over 500 functions. Using these supported functions, you can execute your code on a GPU without needing any CUDA programming experience. For computationally intensive problems, it’s possible to achieve significant speedup making only a few changes to your existing code. With GPU su
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