Jaffery Watson Mendonsa & Hamilton LLC
Compute optimizations for low precision machine learning operations
One embodiment provides an accelerator module comprising a memory stack including multiple memory dies; a graphics processing unit (GPU) coupled with the memory stack via one or more memory controllers, the GPU including a plurality of multiprocessors having a single instruction, multiple thread (SIMT) architecture, the multiprocessors to execute at least one single instruction; the at least one single instruction to cause at least a portion of the GPU to perform a floating-point operation on input having differing precisions; and the floating-point operation is a two-dimensional matrix multiply and accumulate operation.
Intel Corporation
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Sara S. Liwei Anbang Joydeep Kevin Barath John C. Michael S. Altug Ben J. Elmoustapha Ping T. Mike B. Xiaoming Linda L. Dukhwan Abhishek R.
Baghsorkhi Ma Yao Ray Nealis Lakshmanan Weast Strickland Koker Ashbaugh Ould-Ahmed-Vall Tang Macpherson Chen Hurd Kim Appu