Determine energy-saving potential in wait-states of large-scale parallel programs

Author:

Knobloch Michael,Mohr Bernd,Minartz Timo

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference20 articles.

1. Dong Y, Chen J, Yang X, Yang C, Peng L (2008) Low power optimization for MPI collective operations. In: Young computer scientists, International conference for, pp 1047–1052

2. Feng X, Ge R, Cameron KW (2005) Power and energy profiling of scientific applications on distributed systems. In: Proceedings of the 19th IEEE international parallel and distributed processing symposium, IPDPS’05. IEEE Computer Society, Washington, vol 1, p 34. doi: 10.1109/IPDPS.2005.346

3. Freeh VW, Pan F, Kappiah N, Lowenthal DK, Springer R (2005) Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster. In: Proceedings of the 19th IEEE international parallel and distributed processing symposium, IPDPS’05, vol 1. IEEE Computer Society, Washington. doi: 10.1109/IPDPS.2005.214

4. Ge R, Feng X, Cameron KW (2005) Performance-constrained distributed DVS scheduling for scientific applications on power-aware clusters. In: Proceedings of the 2005 ACM/IEEE conference on supercomputing, SC’05. IEEE Computer Society, Washington, p 34. doi: 10.1109/SC.2005.57

5. Ge R, Feng X, Song S, Chang HC, Li D, Cameron KW (2009) PowerPack: energy profiling and analysis of high-performance systems and applications. IEEE Trans Parallel Distrib Syst 99:658–671

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