Revolutionary AI Algorithm Speeds Up Deep Learning on CPUs

This week at the MLSys Conference in Austin, Texas, researchers from Rice University in collaboration with Intel Corporation, announced a breakthrough deep learning algorithm called SLIDE (sub-linear deep learning engine) that can rapidly train deep neural networks on CPUs (central processing units) and outperform GPUs (graphical processing units). This new deep learning technique is a potential game-changer for not only both hardware and AI software industries, but also any organization using deep learning. To understand why requires a bit of background knowledge of the role of GPUs in artificial intelligence (AI). GPUs have more logical cores than CPUs. The CPU is the brain of the computer where calculations are performed.