Quantifying Failure Prediction in Large Scale HPC Systems: A Case Study.
Abstract
Abstract not provided.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1141371
- Report Number(s):
- SAND2009-6315C
506658
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the International Parallel and Distributed Processing Symposium held April 19-23, 2010 in Atlanta, GA.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Brandt, James M., Chen, Frank Xiaoxiao, De Sapio, Vincent, Gentile, Ann C., Mayo, Jackson, Pebay, Philippe Pierre, Roe, Diana C., Thompson, David, and Wong, Matthew H. Quantifying Failure Prediction in Large Scale HPC Systems: A Case Study.. United States: N. p., 2009.
Web.
Brandt, James M., Chen, Frank Xiaoxiao, De Sapio, Vincent, Gentile, Ann C., Mayo, Jackson, Pebay, Philippe Pierre, Roe, Diana C., Thompson, David, & Wong, Matthew H. Quantifying Failure Prediction in Large Scale HPC Systems: A Case Study.. United States.
Brandt, James M., Chen, Frank Xiaoxiao, De Sapio, Vincent, Gentile, Ann C., Mayo, Jackson, Pebay, Philippe Pierre, Roe, Diana C., Thompson, David, and Wong, Matthew H. 2009.
"Quantifying Failure Prediction in Large Scale HPC Systems: A Case Study.". United States. https://www.osti.gov/servlets/purl/1141371.
@article{osti_1141371,
title = {Quantifying Failure Prediction in Large Scale HPC Systems: A Case Study.},
author = {Brandt, James M. and Chen, Frank Xiaoxiao and De Sapio, Vincent and Gentile, Ann C. and Mayo, Jackson and Pebay, Philippe Pierre and Roe, Diana C. and Thompson, David and Wong, Matthew H.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1141371},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 01 00:00:00 EDT 2009},
month = {Tue Sep 01 00:00:00 EDT 2009}
}
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