Abstract
This paper describes the parallelization of an “industrial strength” linear programming package. Our parallel version of CPLEX Barrier, running on a Silicon Graphics Power Challenge shared-memory multiprocessor, provides dramatic performance improvements over sequential methods on a wide range of practical, realistic linear programming problems. The resulting software/hardware combination can provide sustained performance of as much as 2.4 Gflops.
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