Quantifying Scheduling Challenges for Exascale System Software-Reference-Cited by-同舟云学术

Quantifying Scheduling Challenges for Exascale System Software

Published:2015-06-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Runtime and Operating Systems for Supercomputers
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Author:

Mondragon Oscar H.¹,Bridges Patrick G.¹,Jones Terry²

Affiliation:

1. Department of Computer Science, University of New Mexico, Albuquerque, NM 87131

2. Computer Science and Mathematics Division, Oak Ridge National Laboratory, TN 37831, USA

Funder

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2768405.2768413

Reference30 articles.

1. P. Beckan R. Brightwell and A. B. Maccabe. Exascale operating systems and runtime software report. http://science.energy.gov/~/media/ascr/pdf/research/cs/Exascale\%20Workshop/ExaOSR-Report-Final.pdf 2012. P. Beckan R. Brightwell and A. B. Maccabe. Exascale operating systems and runtime software report. http://science.energy.gov/~/media/ascr/pdf/research/cs/Exascale\%20Workshop/ExaOSR-Report-Final.pdf 2012.

2. A. Bemporad. A Matlab function for solving Mixed Integer Quadratic Programs version 1.02 user guide. ftp://ftp.feq.ufu.br/Luis/HYBRID/MIP/hybtbx-win/doc/other/miqp.pdf Last accesed 09/16/2012. A. Bemporad. A Matlab function for solving Mixed Integer Quadratic Programs version 1.02 user guide. ftp://ftp.feq.ufu.br/Luis/HYBRID/MIP/hybtbx-win/doc/other/miqp.pdf Last accesed 09/16/2012.

3. S. Boyd and L. Vandenberghe. Convex optimization. Cambridge university press 2009. S. Boyd and L. Vandenberghe. Convex optimization. Cambridge university press 2009.

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