Deep Learning Architectures Hinge on Hybrid Memory Cube

September 12, 2016 Nicole Hemsoth We have heard about a great number of new architectures and approaches to scalable and efficient deep learning processing that sit outside of the standard CPU, GPU, and FPGA box and while each is different, many are leveraging a common element at all-important memory layer. The Hybrid Memory Cube (HMC), which we expect to see much more of over the coming year and beyond, is at the heart of several custom architectures to suit the deep learning market. Nervana Systems, which was recently acquired by Intel (HMC maker, Micron’s close partner), Wave Computing, and other research efforts all see a common need—and solution. For deep learning workloads, the compute is not as central as pushing a great deal of data, much of it which can…


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