Adaptive runtime partitioning of AMR applications on heterogeneous clusters

Shweta Sinha, Manish Parashar

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

11 Scopus citations

Abstract

This paper presents the design and evaluation of an adaptive, system sensitive partitioning and load balancing framework for distributed structured adaptive mesh refinement applications on heterogeneous and dynamic cluster environments. The framework uses system capabilities and current system state to select and tune appropriate partitioning parameters (e.g. partitioning granularity, load per processor) to maximize overall application performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2001 IEEE International Conference on Cluster Computing, CLUSTER 2001
EditorsDaniel S. Katz, Thomas Sterling, Mark Baker, Larry Bergman, Marcin Paprzycki, Rajkumar Buyya
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)0769511163
DOIs
StatePublished - 2001
Event2001 IEEE International Conference on Cluster Computing, CLUSTER 2001 - Newport Beach, United States
Duration: Oct 8 2001Oct 11 2001

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
Volume2001-October
ISSN (Print)1552-5244

Conference

Conference2001 IEEE International Conference on Cluster Computing, CLUSTER 2001
Country/TerritoryUnited States
CityNewport Beach
Period10/8/0110/11/01

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Signal Processing

Keywords

  • Dynamic load-balancing
  • Heterogeneous computing
  • Structured adaptive mesh refinement
  • System-sensitive adaptive partitioning

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