Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning engine” (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware. “Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures.”
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SLIDE algorithm for training deep neural nets faster on CPUs than GPUs
March 2, 2020 by Doug Black
Filed Under: Compute, Editor's Choice, GPUs, HPC Hardware, HPC Software, Industry Segments, Machine Learning, News, Research / Education, Research / Reports, Resources Tagged With: AI, Intel, Intel Labs, Rice University, SLIDE, Weekly Newsletter Articles
