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Near-DRAM Acceleration with Single-ISA Heterogeneous Processing in Standard Memory Modules
Asghari-Moghaddam, Hadi,Farmahini-Farahani, Amin,Morrow, Katherine,Jung Ho Ahn,Nam Sung Kim IEEE 2016 IEEE micro Vol.36 No.1
<P>THIS ARTICLE PRESENTS A NEAR-DRAM ACCELERATION (NDA) ARCHITECTURE IN WHICH LIGHTWEIGHT PROCESSORS (LWPS) WITH THE SAME ISA AS THEIR HOST PROCESSOR ARE 3D-STACKED ATOP COMMODITY DRAM DEVICES IN A STANDARD MEMORY MODULE TO EFFICIENTLY PROCESS DATA. EXPERIMENTS DEMONSTRATE THAT, ON AVERAGE, THE AUTHORS' NDA-BASED SYSTEM CONSUMES ALMOST 65 PERCENT LESS ENERGY AT NEARLY TWO TIMES HIGHER PERFORMANCE THAN THE BASELINE SYSTEM.</P>