DocumentCode :
565293
Title :
Compiling for energy efficiency on timing speculative processors
Author :
Sartori, John ; Kumar, Rakesh
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2012
fDate :
3-7 June 2012
Firstpage :
1297
Lastpage :
1304
Abstract :
Timing speculation is a promising technique for improving microprocessor yield, in field reliability, and energy efficiency. Previous evaluations of the energy efficiency benefits of timing speculation have either been based on code compiled for a traditional target [2] - a processor that produces no errors, or code that relies on additional hardware support [6]. In this paper, we advocate that binaries for timing speculative processors should be optimized differently than those for conventional processors to maximize the energy benefits of timing speculation. Since the program binary determines the utilization pattern of the processor, which in turn influences the error rate of the processor and the energy efficiency of timing speculation, binary optimizations for timing speculative processors should attempt to manipulate the utilization of different microarchitectural units based on their likelihood of causing errors. An exploration of targeted and standard compiler optimizations demonstrates that significant energy benefits are possible from TS-aware binary optimization.
Keywords :
computer architecture; microprocessor chips; power aware computing; program compilers; TS-aware binary optimisation; binary optimizations; compiler optimization; field reliability; microarchitectural units; processor error rate; processor pattern utilization; timing speculation energy efficiency compilation; timing speculative processors; Delay; Error analysis; Hardware; Optimization; Parallel processing; Program processors; binary optimization; computer architecture; energy efficiency; error resilience; timing speculation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
978-1-4503-1199-1
Type :
conf
Filename :
6241676
Link To Document :
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