U.S. Department of EnergyOffice of Scientific and Technical Information
A Framework to Develop Symbolic Performance Models of Parallel Applications
Abstract
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the tremendous usefulness of performance models, their construction remains largely a manual, complex, and time-consuming exercise. We propose a new approach to the model construction, called modeling assertions (MA), which borrows advantages from both the empirical and analytical modeling techniques. This strategy has many advantages over traditional methods: incremental construction of realistic performance models, straightforward model validation against empirical data, and intuitive error bounding on individual model terms. We demonstrate this new technique on the NAS parallel CG and SP benchmarks by constructing high fidelity models for the floating-point operation cost, memory requirements, and MPI message volume. These models are driven by a small number of key input parameters thereby allowing efficient design space exploration of future problem sizes and architectures.
- Authors:
-
- ORNL
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 989553
- DOE Contract Number:
- DE-AC05-00OR22725
- Resource Type:
- Conference
- Resource Relation:
- Conference: 5th International Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Rhodes, Greece, 20060429, 20060429
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; BENCHMARKS; CONSTRUCTION; DESIGN; EVALUATION; EXPLORATION; OPTIMIZATION; PERFORMANCE; PROCUREMENT; SIMULATION; TUNING; VALIDATION; PARALLEL PROCESSING; COMPUTERS; COMPUTER CODES; PROGRAMMING
Citation Formats
Alam, Sadaf R, and Vetter, Jeffrey S. A Framework to Develop Symbolic Performance Models of Parallel Applications. United States: N. p., 2006.
Web.
Alam, Sadaf R, & Vetter, Jeffrey S. A Framework to Develop Symbolic Performance Models of Parallel Applications. United States.
Alam, Sadaf R, and Vetter, Jeffrey S. 2006.
"A Framework to Develop Symbolic Performance Models of Parallel Applications". United States.
@article{osti_989553,
title = {A Framework to Develop Symbolic Performance Models of Parallel Applications},
author = {Alam, Sadaf R and Vetter, Jeffrey S},
abstractNote = {Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the tremendous usefulness of performance models, their construction remains largely a manual, complex, and time-consuming exercise. We propose a new approach to the model construction, called modeling assertions (MA), which borrows advantages from both the empirical and analytical modeling techniques. This strategy has many advantages over traditional methods: incremental construction of realistic performance models, straightforward model validation against empirical data, and intuitive error bounding on individual model terms. We demonstrate this new technique on the NAS parallel CG and SP benchmarks by constructing high fidelity models for the floating-point operation cost, memory requirements, and MPI message volume. These models are driven by a small number of key input parameters thereby allowing efficient design space exploration of future problem sizes and architectures.},
doi = {},
url = {https://www.osti.gov/biblio/989553},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}