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Fault-tolerant parallel applications using queues and actions

Lookup NU author(s): Emeritus Professor Santosh Shrivastava


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There are many techniques supporting execution of large computations over a network of workstations (NOW) but data intensive computations are usually run on high performance parallel machines. A NOW comprising individual user's machines typically has a low performance interconnect and suffers arbitrary changes of availability. Exploiting such resources to execute data intensive computations is difficult, but even in a more constrained environment there is an unfulfilled need for fault-tolerance. The structuring approach presented fulfills this need. Performance exceeding 100 Mflop/s is demonstrated for large fault-tolerant out of core examples of matrix multiplication and Cholesky factorization using five 133 MHz Pentium compute machines.

Publication metadata

Author(s): Smith J, Shrivastava SK

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the International Conference on Parallel Processing

Year of Conference: 1997

Pages: 145-149

ISSN: 9780818681080

Publisher: IEEE Computer Society

Library holdings: Search Newcastle University Library for this item

ISBN: 081868108X