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Matlab, CUDA, and GPU Computing (view source)
Revision as of 18:15, 3 July 2018
, 18:15, 3 July 2018no edit summary
[[File:gpuDevice.png]]
==What Works, and What Doesn't==
* GPU computing does not work well for linear programming. The biggest reason is [https://groups.google.com/forum/?fromgroups#!searchin/gurobi/gpu/gurobi/KTP6zDvodII/oPPQT4-mofMJ that GPUs don't work well for sparse linear algebra used for most LP solver]. Another [https://parallellp.wordpress.com/author/parallellp/ case study] published 3 years ago shows that "the overhead of communication between CPU and GPU grows faster than the benefit of parallelizing matrix operations via CUDA."
==Reference==
1. [https://www.mathworks.com/discovery/matlab-gpu.html MATLAB GPU Computing Support for NVIDIA CUDA-Enabled GPUs] <br>
2. [https://www.mathworks.com/help/distcomp/getting-started-with-parallel-computing-toolbox.html Getting Started with Parallel Computing Toolbox] <br>
