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- W2035472076 abstract "This paper describes the design, implementation, and performance of three new parallel QR factorization algorithms: shared memory, synchronous message passing, and asynchronous message passing. In contrast to existing parallel algorithms, the multiprocessor partitioning strategy is not governed by an underlying static data distribution scheme. Rather, a dynamic distribution strategy is employed to improve scalability on small problems. Experiments conducted on a 128-processor SGI Origin 2000 and a 64-processor HP SPP-2000 show that the new algorithms have a lower execution time than available tuned parallel routines installed on the machines including a version of ScaLAPACK’s distributed QR factorization algorithm PDGEQRF." @default.
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- W2035472076 date "2002-11-01" @default.
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- W2035472076 title "QR factorization for shared memory and message passing" @default.
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- W2035472076 doi "https://doi.org/10.1016/s0167-8191(02)00162-x" @default.
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