DistME: A fast and elastic distributed matrix computation engine using GPUs

DGIST announced on July 4 that Professor Min-Soo Kim's team in the Department of Information and Communication Engineering developed the DistME (Distributed Matrix Engine) technology that can analyze 100 times more data 14 times faster than the existing technologies. This new technology is expected to be used in machine learning that needs big data processing or various industry fields to analyze large-scale data in the future.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2JL9HiR
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