Load balancing in heterogeneous computing environments

作者: Jayanth N. Rao , Eric C. Samson

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摘要: Load balancing may be achieved in heterogeneous computing environments by first evaluating the operating environment and workload within that environment. Then, if energy usage is a constraint, per task for each device evaluated identified environments. Work scheduled on maximizes performance metric of

参考文章(11)
Ramakrishna Kotla, Freeman Leigh Rawson, Soraya Ghiasi, Thomas Walter Keller, Scheduling processor voltages and frequencies based on performance prediction and power constraints ,(2005)
Ronald E. Newhart, Louis B. Capps, Robert H. Bell, Thomas E. Cook, Michael J. Shapiro, Multicore Processor and Method of Use That Configures Core Functions Based on Executing Instructions ,(2008)
Keith Farkas, Parthasarathy Ranganathan, Norman P. Jouppi, Robert N. Mayo, Dynamically selecting processor cores for overall power efficiency ,(2003)
Guibin Wang, Xiaoguang Ren, Power-Efficient Work Distribution Method for CPU-GPU Heterogeneous System international symposium on parallel and distributed processing and applications. pp. 122- 129 ,(2010) , 10.1109/ISPA.2010.22
S. Huang, S. Xiao, W. Feng, On the energy efficiency of graphics processing units for scientific computing international parallel and distributed processing symposium. pp. 1- 8 ,(2009) , 10.1109/IPDPS.2009.5160980
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka, Power-aware dynamic task scheduling for heterogeneous accelerated clusters international parallel and distributed processing symposium. pp. 1- 8 ,(2009) , 10.1109/IPDPS.2009.5160977
Thanos Stathopoulos, Mahsan Rofouei, Sebi Ryffel, William Kaiser, Majid Sarrafzadeh, Energy-aware high performance computing with graphic processing units international conference on cluster computing. pp. 11- 11 ,(2008)