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Underclocked Software Prefetching: More Cores, Less Energy
July-Aug. 2012 (vol. 32 no. 4)
pp. 32-41
| ASCII Text | x | ||
| 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. | |||
| BibTex | x | ||
| @article{ 10.1109/MM.2012.54, author = {Md Kamruzzaman and Steven Swanson and Dean M. Tullsen}, title = {Underclocked Software Prefetching: More Cores, Less Energy}, journal ={IEEE Micro}, volume = {32}, number = {4}, issn = {0272-1732}, year = {2012}, pages = {32-41}, doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2012.54}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Micro TI - Underclocked Software Prefetching: More Cores, Less Energy IS - 4 SN - 0272-1732 SP32 EP41 EPD - 32-41 A1 - Md Kamruzzaman, A1 - Steven Swanson, A1 - Dean M. Tullsen, PY - 2012 KW - Prefetching KW - Iterative closest point algorithm KW - Power demand KW - Energy efficiency KW - Multicore processing KW - Power measurement KW - Voltage control KW - energy-efficient computing KW - Prefetching KW - Iterative closest point algorithm KW - Power demand KW - Energy efficiency KW - Multicore processing KW - Power measurement KW - Voltage control KW - intercore prefetching KW - helper-thread prefetching KW - frequency/voltage scaling KW - single-thread performance VL - 32 JA - IEEE Micro ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MM.2012.54
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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