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Underclocked Software Prefetching: More Cores, Less Energy
July-Aug. 2012 (vol. 32 no. 4)
pp. 32-41
Md Kamruzzaman, University of California, San Diego
Steven Swanson, University of California, San Diego
Dean M. Tullsen, University of California, San Diego
Power consumption is a concern for helper-thread prefetching that uses extra cores to speed up the single-thread execution, because power consumption increases with each additional core. This article analyzes the impact of using power-saving techniques in the context of intercore prefetching (ICP), and shows that dynamic frequency scaling coupled with ICP is a more energy-efficient way to improve the single-thread execution.
Index Terms:
Prefetching,Iterative closest point algorithm,Power demand,Energy efficiency,Multicore processing,Power measurement,Voltage control,energy-efficient computing,Prefetching,Iterative closest point algorithm,Power demand,Energy efficiency,Multicore processing,Power measurement,Voltage control,intercore prefetching,helper-thread prefetching,frequency/voltage scaling,single-thread performance
Citation:
Md Kamruzzaman, Steven Swanson, Dean M. Tullsen, "Underclocked Software Prefetching: More Cores, Less Energy," IEEE Micro, vol. 32, no. 4, pp. 32-41, July-Aug. 2012, doi:10.1109/MM.2012.54
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