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GPUquantitycompute nodepartition
K202alpha025, omega025gpu
M20702m4c29, m4c60m4
M20502m3n45, m3n46m3batch

 

 GPU processing is an excellent means to achieve shorter run times for many algorithms. There are several approaches to use this resource. One is to program in nVidia's programming language Cuda. Another approach is to use Matlab and other commercial applications that have GPU support, such as Mathematica, Maple, Abaqus and Ansys.  Note, nVidia's Cuda language and applications such as Matlab require specific coding to use gpu resources.

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