AI architecture optimization
Researchers at Rice University, Stanford University, University of California Santa Barbara, and Texas A&M University proposed two complementary methods for optimizing data-centric processing.
The first, called TIMELY, is an architecture developed for “processing-in-memory” (PIM). A promising PIM platform is resistive random access memory, or ReRAM. Whil...
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