DocumentCode :
1917222
Title :
Poster: Three Steps to Model Power-Performance Efficiency for Emergent GPU-Based Parallel Systems
Author :
Shuaiwen Leon Song ; Chun-Yi Su ; Rountree, Barry ; Cameron, Kirk W.
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
1346
Lastpage :
1346
Abstract :
According to the US DOE, there is a need for 1000-fold performance increase with only a 10-fold power increase to achieve the goal of a sustained petaflop within 20 Megawatts by 2019. Despite the top-ranked energy efficiency supercomputer at about 2,000 MFLOPS/watt, to meet the DOE goal of 50,000 MFLOPS/watt will require significant innovation in power and performance efficiency. In order to help application and system designers find power-performance bottlenecks and their causes, a need for accurate models that balance abstraction and detail on emergent GPU architectures.
Keywords :
energy conservation; graphics processing units; parallel processing; power aware computing; Department of Energy; GPU architecture; GPU-Based parallel system; US DOE; United States; energy efficiency supercomputer; graphics processing unit; power-performance efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.178
Filename :
6495961
Link To Document :
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