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Volumn 2003-January, Issue , 2003, Pages 225-228

The evolution of a hierarchical partitioning algorithm for large-scale scientific data: Three steps of increasing complexity

Author keywords

Astrophysics; Computational modeling; Heuristic algorithms; Iterative algorithms; Laboratories; Large scale systems; Partitioning algorithms; Spatial databases; Spatiotemporal phenomena; Topology

Indexed keywords

ASTROPHYSICS; AXIAL FLOW; COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; ITERATIVE METHODS; LABORATORIES; LARGE SCALE SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; TOPOLOGY; TREES (MATHEMATICS);

EID: 33644551344     PISSN: 10993371     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSDM.2003.1214983     Document Type: Conference Paper
Times cited : (7)

References (5)
  • 2
    • 84943276974 scopus 로고    scopus 로고
    • The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data
    • C. Baldwin, T. Eliassi-Rad, G. Abdulla, and T. Critchlow, "The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data," LLNL Technical Report, UCRL-JC-151476, 2003.
    • (2003) LLNL Technical Report
    • Baldwin, C.1    Eliassi-Rad, T.2    Abdulla, G.3    Critchlow, T.4
  • 4
    • 0002971051 scopus 로고    scopus 로고
    • Practical Lessons in Supporting Large-Scale Computational Science
    • ACM Press
    • R. Musick, and T. Critchlow, "Practical Lessons in Supporting Large-Scale Computational Science," Proc. of SIGMOD Record, Vol. 28, No. 4, ACM Press, 1999, pp. 49-57.
    • (1999) Proc. of SIGMOD Record , vol.28 , Issue.4 , pp. 49-57
    • Musick, R.1    Critchlow, T.2
  • 5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.