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OSU Grad Student Explores Strengths, Challenges of Cray, IBM, and Nvidia

When it comes to benchmarks, your performance mileage may vary. Now an Ohio State University researcher has established some side-by-side performance comparisons that surveying the wide range of parallel system architectures offered in the supercomputer market, .

We explore the parallelization of the subset-sum problem on three contemporary but very different architectures, a 128-processor Cray massively multithreaded machine, a 16-processor IBM shared memory machine, and a 240-core NVIDIA graphics processing unit,” said Bokhari. “These experiments highlighted the strengths and weaknesses of these architectures in the context of a well-defined combinatorial problem.”

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