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.
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
Publisher: IEEE Computer Society
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