High-Performance, Power-Aware Distributed Computing for Scientific Applications

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http://doi.ieeecomputersociety.org/10.1109/MC.2005.380

November 2005 (vol. 38 no. 11) pp. 40-47

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	ASCII Text	x
	Kirk W. Cameron, Rong Ge, Xizhou Feng, "High-Performance, Power-Aware Distributed Computing for Scientific Applications," Computer, vol. 38, no. 11, pp. 40-47, November, 2005.

	BibTex	x
	@article{ 10.1109/MC.2005.380, author = {Kirk W. Cameron and Rong Ge and Xizhou Feng}, title = {High-Performance, Power-Aware Distributed Computing for Scientific Applications}, journal ={Computer}, volume = {38}, number = {11}, issn = {0018-9162}, year = {2005}, pages = {40-47}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2005.380}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - Computer TI - High-Performance, Power-Aware Distributed Computing for Scientific Applications IS - 11 SN - 0018-9162 SP40 EP47 EPD - 40-47 A1 - Kirk W. Cameron, A1 - Rong Ge, A1 - Xizhou Feng, PY - 2005 KW - Power-aware computing KW - Distributed systems KW - Dynamic voltage scaling KW - PowerPack framework VL - 38 JA - Computer ER -

Kirk W. Cameron, Virginia Tech

Rong Ge, Virginia Tech

Xizhou Feng, Virginia Tech

The PowerPack framework enables distributed systems to profile, analyze, and conserve energy in scientific applications using dynamic voltage scaling. For one common benchmark, the framework achieves more than 30 percent energy savings with minimal performance impact.

Index Terms:

Power-aware computing, Distributed systems, Dynamic voltage scaling, PowerPack framework

Citation:

Kirk W. Cameron, Rong Ge, Xizhou Feng, "High-Performance, Power-Aware Distributed Computing for Scientific Applications," Computer, vol. 38, no. 11, pp. 40-47, Nov. 2005, doi:10.1109/MC.2005.380

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