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Energy-efficient Application Resource Scheduling using Machine Learning Classifiers

  • Published:2018-08-13 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 47th International Conference on Parallel Processing
  • language:
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Author:

Imes Connor1,Hofmeyr Steven2,Hoffmann Henry1

Affiliation:

1. University of Chicago

2. Lawrence Berkeley National Laboratory

Funder

National Science Foundation

U.S. Department of Energy

Defense Advanced Research Projects Agency

Publisher

ACM

Reference52 articles.

1. Bilge Acun Phil Miller and Laxmikant V. Kale. 2016. Variation Among Processors Under Turbo Boost in HPC Systems. In ICS. 10.1145/2925426.2926289 Bilge Acun Phil Miller and Laxmikant V. Kale. 2016. Variation Among Processors Under Turbo Boost in HPC Systems. In ICS. 10.1145/2925426.2926289

2. Claudia Alvarado Dan Tamir and Apan Qasem. 2015. Realizing Energy-efficient Thread Affinity Configurations with Supervised Learning. In IGSC. 10.1109/IGCC.2015.7393691 Claudia Alvarado Dan Tamir and Apan Qasem. 2015. Realizing Energy-efficient Thread Affinity Configurations with Supervised Learning. In IGSC. 10.1109/IGCC.2015.7393691

3. D. H. Bailey E. Barszcz J. T. Barton D. S. Browning R. L. Carter L. Dagum R. A. Fatoohi P. O. Frederickson T. A. Lasinski R. S. Schreiber H. D. Simon V. Venkatakrishnan and S. K. Weeratunga. 1991. The NAS Parallel Benchmarks-Summary and Preliminary Results. In SC. 10.1145/125826.125925 D. H. Bailey E. Barszcz J. T. Barton D. S. Browning R. L. Carter L. Dagum R. A. Fatoohi P. O. Frederickson T. A. Lasinski R. S. Schreiber H. D. Simon V. Venkatakrishnan and S. K. Weeratunga. 1991. The NAS Parallel Benchmarks-Summary and Preliminary Results. In SC. 10.1145/125826.125925

4. Michael Berry Thomas E. Potok Prasanna Balaprakash Henry Hoffmann Raju Vatsavai Prabhat and Robinson Pino. 2015. Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery. (2015). Michael Berry Thomas E. Potok Prasanna Balaprakash Henry Hoffmann Raju Vatsavai Prabhat and Robinson Pino. 2015. Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery. (2015).

5. Dimitrios Chasapis Marc Casas Miquel Moretó Martin Schulz Eduard Ayguadé Jesus Labarta and Mateo Valero. 2016. Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes. In ICS. 10.1145/2925426.2926279 Dimitrios Chasapis Marc Casas Miquel Moretó Martin Schulz Eduard Ayguadé Jesus Labarta and Mateo Valero. 2016. Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes. In ICS. 10.1145/2925426.2926279

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