Compiler-based tools for analyzing parallel programs

Brian Armstrong; Seon Wook Kim; Insung Park; Michael Voss; Rudolf Eigenmann

doi:10.1016/s0167-8191(98)00019-2

Compiler-based tools for analyzing parallel programs

Brian Armstrong, Seon Wook Kim, Insung Park, Michael Voss, Rudolf Eigenmann

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

In this paper, we present several tools for analyzing parallel programs. The tools are built on top of a compiler infrastructure, which provides advanced capabilities for symbolic program analysis and manipulation. The tools can display characteristics of a program and relate this information to data gathered from instrumented program runs and other performance analysis tools. They also support an interactive compilation scenario, giving the user feedback on how the compilation process performed and how to improve it. We will present case studies demonstrating the tool use. These include the characterization of an industrial application and the study of new compiler techniques and portable parallel languages.

Original language	English
Pages (from-to)	401-420
Number of pages	20
Journal	Parallel Computing
Volume	24
Issue number	3-4
DOIs	https://doi.org/10.1016/s0167-8191(98)00019-2
Publication status	Published - 1998 May
Externally published	Yes

Keywords

Integrated tools
Parallel programming tools
Parallelizing compilers
Performance analysis
Program characterization

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Computer Graphics and Computer-Aided Design
Artificial Intelligence

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10.1016/s0167-8191(98)00019-2

Cite this

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title = "Compiler-based tools for analyzing parallel programs",

abstract = "In this paper, we present several tools for analyzing parallel programs. The tools are built on top of a compiler infrastructure, which provides advanced capabilities for symbolic program analysis and manipulation. The tools can display characteristics of a program and relate this information to data gathered from instrumented program runs and other performance analysis tools. They also support an interactive compilation scenario, giving the user feedback on how the compilation process performed and how to improve it. We will present case studies demonstrating the tool use. These include the characterization of an industrial application and the study of new compiler techniques and portable parallel languages.",

keywords = "Integrated tools, Parallel programming tools, Parallelizing compilers, Performance analysis, Program characterization",

author = "Brian Armstrong and Kim, {Seon Wook} and Insung Park and Michael Voss and Rudolf Eigenmann",

note = "Funding Information: This work was supported in part by U.S. Army contract #DABT63-92-C-0033, by the NSF `petaflop point design' grant #9612133, and an NSF CAREER award. This work is not necessarily representative of the positions or policies of the U.S. Army or the Government. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "1998",

month = may,

doi = "10.1016/s0167-8191(98)00019-2",

language = "English",

volume = "24",

pages = "401--420",

journal = "Parallel Computing",

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AU - Armstrong, Brian

AU - Kim, Seon Wook

AU - Park, Insung

AU - Voss, Michael

AU - Eigenmann, Rudolf

N1 - Funding Information: This work was supported in part by U.S. Army contract #DABT63-92-C-0033, by the NSF `petaflop point design' grant #9612133, and an NSF CAREER award. This work is not necessarily representative of the positions or policies of the U.S. Army or the Government. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 1998/5

Y1 - 1998/5

N2 - In this paper, we present several tools for analyzing parallel programs. The tools are built on top of a compiler infrastructure, which provides advanced capabilities for symbolic program analysis and manipulation. The tools can display characteristics of a program and relate this information to data gathered from instrumented program runs and other performance analysis tools. They also support an interactive compilation scenario, giving the user feedback on how the compilation process performed and how to improve it. We will present case studies demonstrating the tool use. These include the characterization of an industrial application and the study of new compiler techniques and portable parallel languages.

AB - In this paper, we present several tools for analyzing parallel programs. The tools are built on top of a compiler infrastructure, which provides advanced capabilities for symbolic program analysis and manipulation. The tools can display characteristics of a program and relate this information to data gathered from instrumented program runs and other performance analysis tools. They also support an interactive compilation scenario, giving the user feedback on how the compilation process performed and how to improve it. We will present case studies demonstrating the tool use. These include the characterization of an industrial application and the study of new compiler techniques and portable parallel languages.

KW - Integrated tools

KW - Parallel programming tools

KW - Parallelizing compilers

KW - Performance analysis

KW - Program characterization

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JO - Parallel Computing

JF - Parallel Computing

IS - 3-4

ER -

Compiler-based tools for analyzing parallel programs

Abstract

Keywords

ASJC Scopus subject areas

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