Why Machine Learning Is the Future
Chip and system makers take modern machine-learning concepts and apply them to supercomputers. At this month’s SC16 Supercomputing conference, two trends stood out. The first is the appearance of Intel’s latest Xeon Phi (Knights Landing) and Nvidia’s latest Tesla (the Pascal-based P100) on the Top500 list of the fastest computers in the world; both systems landed in the top 20. The second is a big emphasis on the part of chip and system makers to take concepts from modern machine learning systems and apply these toward supercomputers. On the current revision of the Top500 list, which gets updated twice yearly, the top of the chart is still firmly in the hands of the Sunway TaihuLight computer from China’s National Supercomputing Center in Wuxi, and the Tianhe-2 computer from China’s National…
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