Optimal Heterogeneous Memory Configs for AI Tasks Under Specified Performance Metrics (Stanford, UCSC)


Researchers from Stanford University and University of California, Santa Cruz have released “Heterogeneous Memory Design Exploration for AI Accelerators with a Gain Cell Memory Compiler”. Abstract “As memory increasingly dominates system cost and energy, heterogeneous on-chip memory systems that combine technologies with complementary characteristics are becoming essential. Gain ... » read more