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An Integrated Compilation and Performance Analysis Environment for Data Parallel Programs (2000)
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BibTeX
@MISC{Adve00anintegrated,
author = {Vikram S. Adve and John Mellor-Crummey and Mark Anderson and Ken Kennedy and Jhy-chun Wang and Daniel A. Reed},
title = {An Integrated Compilation and Performance Analysis Environment for Data Parallel Programs},
year = {2000}
}
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Abstract
Supporting source-level performance analysis of programs written in data-parallel languages requires a unique degree of integration between compilers and performance analysis tools. Compilers for languages such as High Performance Fortran infer parallelism and communication from data distribution directives# thus, performance tools cannot meaningfully relate measurements about these key aspects of execution performance to source-level constructs without substantial compiler support. This paper describes an integrated system for performance analysis of data-parallel programs based on the Rice Fortran 77D compiler and the Illinois Pablo performance analysis toolkit. During code generation, the Fortran D compiler records mapping information and semantic analysis results describing the relationship between performance instrumentation and the original source program. An integrated performance analysis system based on the Pablo toolkit uses this information to correlate the program's d...
Keyphrases
data parallel program performance analysis environment data-parallel language rice fortran key aspect integrated system performance analysis fortran compiler record pablo toolkit illinois pablo performance analysis toolkit substantial compiler support performance instrumentation unique degree execution performance code generation original source program performance tool source-level construct high performance fortran semantic analysis result integrated performance analysis system source-level performance analysis data-parallel program data distribution relate measurement performance analysis tool
