Using kernel couplings to predict parallel application performance

Proceedings of the IEEE International Symposium on High Performance Distributed Computing

Volumn 2002-January, Issue , 2002, Pages 125-134

  Taylor, V ^a   Wu, Xingfu ^a   Geisler, J ^a   Stevens, R ^b  

^a Northwestern University   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Algebra; Analytical models; Application software; Computer science; Kernel; Laboratories; Mathematical model; Mathematics; Performance analysis; Predictive models

Indexed keywords

ALGEBRA; ANALYTICAL MODELS; APPLICATION PROGRAMS; COMPUTER SCIENCE; DISTRIBUTED COMPUTER SYSTEMS; FORECASTING; LABORATORIES; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; MEMORY ARCHITECTURE; PARALLEL PROCESSING SYSTEMS;

COUPLING PARAMETERS; KERNEL; PARALLEL APPLICATION; PERFORMANCE ANALYSIS; PERFORMANCE PREDICTION; PREDICTIVE MODELS; PROCESSOR ARCHITECTURES; TRADITIONAL TECHNIQUES;

BENCHMARKING;

EID: 10844294718     PISSN: 10828907     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPDC.2002.1029910     Document Type: Conference Paper

References (9)

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