Hybrid supercomputing continues to gain momentum in the TOP500. Sumit Gupta from Nvidia writes that there are 52 systems powered by NVIDIA Tesla GPUs on the latest list, which is a fourfold increase compared with just one year ago.
While a spot on the Top500 list used to be for privileged institutions with large budgets, the latest list highlights that GPU computing is enabling affordable supercomputing capabilities for just about any university or research institution. Formerly, researchers had a hard time getting access to a big CPU-only supercomputer to conduct their research. Now, each university department can have a small dedicated GPU cluster that delivers 5 to 10 times more performance.
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