Machine learning at speed
E-Mail IMAGE: Technology developed through a KAUST-led collaboration with Intel, Microsoft and the University of Washington can dramatically increase the speed of machine learning on parallelized computing systems. view more Credit: © 2021 KAUST; Anastasia Serin. Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold. This "in-network aggregation" technology, developed with researchers and systems architects at Intel, Microsoft and the Univers...
Source: eurekalert.org