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Better benchmarking for supercomputers

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People today typically judge supercomputers in terms of their raw number-crunching power, for example by asking how many linear algebra problems they can solve in a second. But, the scientists argue, the lion's share of challenging supercomputing problems in the 2010s requires quick and efficient processing of petabyte and exabyte-size data sets. And good number crunchers are sometimes bad exascale sifters.

Published in:

Spectrum, IEEE  (Volume:48 ,  Issue: 1 )