Compiling Data Parallel Tasks for Coordinated Execution⋆

  • Erwin Laure
  • Hans Zima
  • Matthew Haines
  • Piyush Mehrotra
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1685)


Many advanced scientific applications are heterogeneous and multidisciplinary in nature, consisting of multiple, independent modules. Such applications require efficient means of coordination for their program units. The programming language Opus was designed recently to assist in coordinating the execution of multiple, independent program modules. In this paper we address the problem of how to compile an Opus program such that it can be eficiently executed on a broad class of machines.


Opus Semantic Runtime System Data Parallelism Task Parallelism Opus Compilation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Erwin Laure
    • 1
  • Hans Zima
    • 1
  • Matthew Haines
    • 2
  • Piyush Mehrotra
    • 3
  1. 1.Institute for Software Technology and Parallel SystemsUniversity of ViennaVienna
  2. 2.Department of Computer ScienceUniversity of WyomingWyoming
  3. 3.ICASE, NASA Langley Research CenterWyoming

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