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- W1608616847 abstract "This chapter discusses high performance computers and algorithms from linear algebra. As multiprocessor designs proliferate, research efforts should focus on generic algorithms that can be easily transported across various architectures. If a code has been written in terms of high level synchronization and data management primitives, that are expected to be supported by every member of the model of computation, then these primitives only need to be customized to a particular realization. A very high level of transportability may be achieved through automating the transformation of these primitives. The benefit to software maintenance, particularly for large codes, is in the isolation of synchronization and data management peculiarities. One should be prepared to give up a marginal amount of efficiency in trade for reduced man power requirements to use and maintain software. There are many possibilities for implementation of the general ideas, which are briefly described in the chapter." @default.
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- W1608616847 date "1986-01-01" @default.
- W1608616847 modified "2023-10-16" @default.
- W1608616847 title "High Performance Computers and Algorithms From Linear Algebra" @default.
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- W1608616847 doi "https://doi.org/10.1016/s0304-0208(08)72637-9" @default.
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