Enabling comprehensive data-driven system management for large computational facilities
Author:
Affiliation:
1. University of Texas, Austin, TX
2. Center for Computational Research, SUNY at Buffalo, Buffalo, NY
Funder
Office of Cyberinfrastructure
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2503210.2503230
Reference28 articles.
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2. Furlani T. R. Jones M. D. Gallo S. M. Bruno A. E. Lu C.-D. Ghadersohi A. Gentner R. J. Patra A. DeLeon R. L. von Laszewski G. Wang F. and Zimmerman A. "Performance metrics and auditing framework using application kernels for high performance computer systems " Concurrency and Computation: Practice and Experience 2012. {Online} Available: http://dx.doi.org/10.1002/cpe.2871 XDMoD: http://xdmod.ccr.buffalo.edu Furlani T. R. Jones M. D. Gallo S. M. Bruno A. E. Lu C.-D. Ghadersohi A. Gentner R. J. Patra A. DeLeon R. L. von Laszewski G. Wang F. and Zimmerman A. "Performance metrics and auditing framework using application kernels for high performance computer systems " Concurrency and Computation: Practice and Experience 2012. {Online} Available: http://dx.doi.org/10.1002/cpe.2871 XDMoD: http://xdmod.ccr.buffalo.edu
3. http://www.thegeekstuff.com/2011/12/linux-performance-monitoring-tools/ http://www.thegeekstuff.com/2011/12/linux-performance-monitoring-tools/
4. Knowledge Support and Automation for Performance Analysis with PerfExplorer 2.0;Huck K. A.;Large-Scale Programming Tools and Environments, Special Issue of Scientific Programming,2008
5. The Tau Parallel Performance System
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