Adaptive runtime management of SAMR applications

Sumir Chandra, Shweta Sinha, Manish Parashar, Yeliang Zhang, Jingmei Yang, Salim Hariri

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

7 Scopus citations


This paper presents the design, prototype implementation, and evaluation of a runtime management framework for structured adaptive mesh refinement applications. The framework is capable of reactively and proactively managing and optimizing application execution using current system and application state, predictive models for system behavior and application performance, and an agent based control network. The overall goal of this research is to enable large-scale dynamically adaptive scientific and engineering simulations on distributed, heterogeneous and dynamic execution environments such as the computational “grid”.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing - HiPC 2002 - 9th International Conference, Proceedings
EditorsSartaj Sahni, Viktor K. Prasanna, Uday Shukla
PublisherSpringer Verlag
Number of pages11
ISBN (Print)3540003037, 9783540003038
StatePublished - 2002
Event9th International Conference on High Performance Computing, HiPC 2002 - Bangalore, India
Duration: Dec 18 2002Dec 21 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other9th International Conference on High Performance Computing, HiPC 2002

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Adaptive runtime management
  • Dynamic applications
  • Heterogeneous distributed computing
  • Performance characterization
  • Structured adaptive mesh refinement


Dive into the research topics of 'Adaptive runtime management of SAMR applications'. Together they form a unique fingerprint.

Cite this