Title :
Assessing the performance limits of parallelized near-threshold computing
Author :
Pinckney, Nathaniel ; Sewell, Korey ; Dreslinski, Ronald G. ; Fick, David ; Mudge, Trevor ; Sylvester, Dennis ; Blaauw, David
Author_Institution :
EECS Dept., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
Supply voltage scaling has stagnated in recent technology nodes, leading to so-called “dark silicon.” In this paper, we investigate the limit of voltage scaling together with task parallelization to maintain task completion latency. When accounting for parallelization overheads, minimum task energy is obtained at “near threshold” supply-voltages across 6 commercial technology nodes and provides 4X improvement in overall CMP performance.
Keywords :
microprocessor chips; parallel processing; power aware computing; CMP performance; dark silicon; minimum task energy; parallelization overhead; parallelized near-threshold computing; performance limit assessment; supply voltage scaling; task completion latency; task parallelization; Benchmark testing; Clocks; Delay; Energy efficiency; Logic gates; Threshold voltage; Transistors; Near-Threshold Computing; low-power design; parallelization;
Conference_Titel :
Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4503-1199-1
