3D visualization of program structure and data dependence for parallelizing compilers and parallel programming

Mariko Sasakura, Satoko Kiwada, Kazuki Joe, Tsuneo Nakanishi, Keijiro Araki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For effective use of parallel computers, a tool which assists users to know the way of parallelization is needed. Since we believe visualization is a useful tool for parallelization, we are developing a tool named NaraView for parallelizing Fortran programs. In this paper, we propose two visualization methods in NaraView, which are 3D visualization of program structure and data dependence.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages591-593
Number of pages3
Volume1239
ISBN (Print)3540630910, 9783540630913
DOIs
Publication statusPublished - 1997
Event9th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1996 - San Jose, United States
Duration: Aug 8 1996Aug 10 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1239
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1996
CountryUnited States
CitySan Jose
Period8/8/968/10/96

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sasakura, M., Kiwada, S., Joe, K., Nakanishi, T., & Araki, K. (1997). 3D visualization of program structure and data dependence for parallelizing compilers and parallel programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1239, pp. 591-593). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1239). Springer Verlag. https://doi.org/10.1007/BFb0017279