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exascale
New cost-effective GPUs solver redesigns the computational game
1 min read ·
Thu, Jan 12 2017
News
exascale
High Performance Computing
parallel computing
Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data.
