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Volumn 18, Issue , 2004, Pages 2783-2790

Autonomic proactive runtime partitioning strategies for SAMR applications

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIBLE FLUID DYNAMICS; DYNAMIC GRID EXECUTION ENVIRONMENTS; LINK BANDWIDTH; STRUCTURED ADAPTIVE MESH REFINEMENT (SAMR);

EID: 12444256367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (6)
  • 1
    • 12444299982 scopus 로고    scopus 로고
    • ARMaDA: An adaptive Application-sensitive partitioning framework for structured adaptive mesh refinement applications
    • Cambridge, MA, November
    • S. Chandra and M. Parashar. "ARMaDA: An Adaptive Application-Sensitive Partitioning Framework for Structured Adaptive Mesh Refinement Applications", Proc. of Parallel and Distributed Computing Systems (PDCS 02), Cambridge, MA, pp. 446-451, November 2002.
    • (2002) Proc. of Parallel and Distributed Computing Systems (PDCS 02) , pp. 446-451
    • Chandra, S.1    Parashar, M.2
  • 4
    • 84966461406 scopus 로고    scopus 로고
    • PRAGMA: An infrastructure for runtime management of grid applications
    • Fort Lauderdale, FL, CDROM, 8 pages, April
    • M. Parashar and S. Hariri. "PRAGMA: An Infrastructure for Runtime Management of Grid Applications", Proc. of NSF NGS Program Workshop, IEEE/ACM IPDPS, Fort Lauderdale, FL, CDROM, 8 pages, April 2002.
    • (2002) Proc. of NSF NGS Program Workshop, IEEE/ACM IPDPS
    • Parashar, M.1    Hariri, S.2
  • 5
    • 12444320292 scopus 로고    scopus 로고
    • Adaptive runtime partitioning of AMR applications on heterogeneous clusters
    • Newport Beach, CA, IEEE Computer Society Press, October
    • S. Sinha and M. Parashar. "Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters", Proc. of Cluster Computing, Newport Beach, CA, IEEE Computer Society Press, pp. 435-442, October 2001.
    • (2001) Proc. of Cluster Computing , pp. 435-442
    • Sinha, S.1    Parashar, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.