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• W2108736483 abstract "In this paper we describe parallelization of interior-point method (IPM) aimed at achieving high scalability on large-scale chip-multiprocessors (CMPs). IPM is an important computational technique used to solve optimization problems in many areas of science, engineering and finance. IPM spends most of its computation time in a few sparse linear algebra kernels. While each of these kernels contains a large amount of parallelism, sparse irregular datasets seen in many optimization problems make parallelism difficult to exploit. As a result, most researchers have shown only a relatively low scalability of 4X-12X on medium to large scale parallel machines." @default.
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• W2108736483 date "2007-11-10" @default.
• W2108736483 modified "2023-09-27" @default.
• W2108736483 title "Scaling performance of interior-point method on large-scale chip multiprocessor system" @default.
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• W2108736483 doi "https://doi.org/10.1145/1362622.1362652" @default.
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