Unstructured Scientific Computation on Scalable Multiprocessors (Scientific and Engineering Computation)

by P. Mehrotra and etc.

Piyush Mehrotra (Editor), Joel Saltz (Editor), Robert Voigt (Editor), William Gropp (Editor), and Ewing Lusk (Editor)

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Book cover for Unstructured Scientific Computation on Scalable Multiprocessors

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This book focuses on the implementation of such algorithms on parallel computers, such as hypercubes and the Connection Machine (R), that can be scaled up to incredible performances. Unstructured and dynamically varying algorithms are playing an increasingly important role in the solution of large-scale scientific problems on large-scale computers. This book focuses on the implementation of such algorithms on parallel computers, such as hypercubes and the Connection Machine (R), that can be scaled up to incredible performances. The algorithms covered include those for partial differential equations and sparse linear algebra.The nineteen contributions describe methods to effectively map fluids and structural mechanics codes that employ unstructured and/or adaptive meshes, scalable algorithms for problems in sparse linear algebra, scalable tools and compilers designed to handle irregular scientific computations, mapping methods for adaptive fast multipole methods, and parallelized grid generation and problem partitioning.
  • ISBN10 0262132729
  • ISBN13 9780262132725
  • Publish Date 1 July 1992
  • Publish Status Transferred
  • Out of Print 28 February 2001
  • Publish Country US
  • Publisher MIT Press Ltd
  • Imprint MIT Press
  • Format Hardcover
  • Pages 425
  • Language English