skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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:
 [1];  [1]
  1. 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. Sun . "A Framework to Develop Symbolic Performance Models of Parallel Applications". United States. doi:.
@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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: