Prototyping Algorithms and Testing CUDA Kernels in MATLAB – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-01T21:14:57Z http://www.open-lab.net/blog/feed/ Mark Harris <![CDATA[Prototyping Algorithms and Testing CUDA Kernels in MATLAB]]> http://www.parallelforall.com/?p=1701 2022-08-21T23:36:55Z 2013-07-15T15:20:02Z This guest post by Daniel Armyr and Dan Doherty from?MathWorks?describes how you can use MATLAB to support your development of CUDA C and C++ kernels. You...]]> This guest post by Daniel Armyr and Dan Doherty from?MathWorks?describes how you can use MATLAB to support your development of CUDA C and C++ kernels. You...

NVIDIA GPUs are becoming increasingly popular for large-scale computations in image processing, financial modeling, signal processing, and other applications��largely due to their highly parallel architecture and high computational throughput. The CUDA programming model lets programmers exploit the full power of this architecture by providing fine-grained control over how computations are divided��

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