Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications
Abstract
Computational science and engineering application programs are typically large, complex, and dynamic, and are often constrained by distribution limitations. As a means of making tractable rapid explorations of scientific and engineering application programs in the context of new, emerging, and future computing architectures, a suite of miniapps has been created to serve as proxies for full scale applications. Each miniapp is designed to represent a key performance characteristic that does or is expected to significantly impact the runtime performance of an application program. In this paper we introduce a methodology for assessing the ability of these miniapps to effectively represent these performance issues. We applied this methodology to four miniapps, examining the linkage between them and an application they are intended to represent. Herein we evaluate the fidelity of that linkage. This work represents the initial steps required to begin to answer the question, ''Under what conditions does a miniapp represent a key performance characteristic in a full app?''
- Authors:
-
[1];
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States). Center for Computing Research
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1121689
- Alternate Identifier(s):
- OSTI ID: 1250110
- Report Number(s):
- SAND-2013-10234J
Journal ID: ISSN 0743-7315; PII: S0743731514001695
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Parallel and Distributed Computing
- Additional Journal Information:
- Journal Volume: 75; Journal Issue: C; Journal ID: ISSN 0743-7315
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Barrett, R. F., Crozier, P. S., Doerfler, D. W., Heroux, M. A., Lin, P. T., Thornquist, H. K., Trucano, T. G., and Vaughan, C. T. Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications. United States: N. p., 2014.
Web. doi:10.1016/j.jpdc.2014.09.006.
Barrett, R. F., Crozier, P. S., Doerfler, D. W., Heroux, M. A., Lin, P. T., Thornquist, H. K., Trucano, T. G., & Vaughan, C. T. Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications. United States. https://doi.org/10.1016/j.jpdc.2014.09.006
Barrett, R. F., Crozier, P. S., Doerfler, D. W., Heroux, M. A., Lin, P. T., Thornquist, H. K., Trucano, T. G., and Vaughan, C. T. Sun .
"Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications". United States. https://doi.org/10.1016/j.jpdc.2014.09.006. https://www.osti.gov/servlets/purl/1121689.
@article{osti_1121689,
title = {Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications},
author = {Barrett, R. F. and Crozier, P. S. and Doerfler, D. W. and Heroux, M. A. and Lin, P. T. and Thornquist, H. K. and Trucano, T. G. and Vaughan, C. T.},
abstractNote = {Computational science and engineering application programs are typically large, complex, and dynamic, and are often constrained by distribution limitations. As a means of making tractable rapid explorations of scientific and engineering application programs in the context of new, emerging, and future computing architectures, a suite of miniapps has been created to serve as proxies for full scale applications. Each miniapp is designed to represent a key performance characteristic that does or is expected to significantly impact the runtime performance of an application program. In this paper we introduce a methodology for assessing the ability of these miniapps to effectively represent these performance issues. We applied this methodology to four miniapps, examining the linkage between them and an application they are intended to represent. Herein we evaluate the fidelity of that linkage. This work represents the initial steps required to begin to answer the question, ''Under what conditions does a miniapp represent a key performance characteristic in a full app?''},
doi = {10.1016/j.jpdc.2014.09.006},
journal = {Journal of Parallel and Distributed Computing},
number = C,
volume = 75,
place = {United States},
year = {Sun Sep 28 00:00:00 EDT 2014},
month = {Sun Sep 28 00:00:00 EDT 2014}
}
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