Software engineering methods for parallel and distributed scientific computing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1067, Issue , 1996, Pages 508-513

  Luksch, R ^a   Maier, U ^a   Rathmayer, S ^a   Weidmann, M ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

DISTRIBUTED SCIENTIFIC COMPUTING; INTERDISCIPLINARY RESEARCH; MASSIVELY PARALLEL SYSTEMS; NETWORKS OF WORKSTATIONS; PARALLEL APPLICATION; PARALLEL SCIENTIFIC COMPUTING; RESOURCE MANAGEMENT SYSTEMS; SOFTWARE ENGINEERING METHODS;

SOFTWARE TESTING;

EID: 84944248968     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61142-8_590     Document Type: Conference Paper

References (3)

1. J. Levesque. FORGE 90 and High Performance Fortran (HPF). Bericht, Applied Parallel Research (Juni 1992).
2. METIS: Unstructured Graph Partitioning and Sparse Matrix Ordering System". George Karypis and Vipin Kumar, University of Minnesota (1995).
3. Michael Raw. A Coupled Algebraic Multigrid Method for the 3D Navier Stokes Equations (1994).