Unified development solution for cluster and grid computing and its application in chemistry

Róbert Lovas, P. Kacsuk, I. Lagzi, T. Turányi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

P-GRADE programming environment provides high-level graphical support to develop parallel applications transparently for both the parallel systems and the Grid. This paper gives an overview on the parallelisation of a simulation algorithm for chemical reaction-diffusion systems applying P-GRADE environment at all stages of parallel program development cycle including the design, the debugging, the execution, and the performance analysis. The automatic checkpoint mechanism for parallel programs, which supports the migration of parallel jobs between different clusters, together with the application monitoring facilities of P-GRADE enable the long-running parallel jobs to run on various non-dedicated clusters in the Grid while their execution can be visualised on-line for the user. The presented research achievements will be deployed in a chemistry Grid environment for air pollution forecast.

Original languageEnglish
Pages (from-to)226-235
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3044
Publication statusPublished - 2004

Fingerprint

Cluster computing
Cluster Computing
Grid computing
Grid Computing
Chemistry
Parallel Programs
Grid
Program Development
Air Pollution
Air pollution
Chemical reactions
Checkpoint
Programming Environments
Parallel Applications
Debugging
Parallel Systems
Reaction-diffusion System
Chemical Reaction
Parallelization
Performance Analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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