Titlebook: Computer Algebra and Parallelism; Second International Richard E. Zippel Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992

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0302-9743 their computation. One usesvectorprocessing on the Cray and achieves significant speed-ups.The other uses a distributed memory multiprocessor andeffectively explores the trade-offs involved with differentinterconnect topologies of the multiprocessors.978-3-540-55328-1978-3-540-47026-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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,Embarrassingly parallel algorithms for algebraic number arithmetic — and some less trivial issues,.. The best known power-sum algorithm is based on Newton‘s identity, which may be treated as a linear recurrence, whose solution, conventionally understood to be of complexity O(.), will dominate the time of the multiplication algorithm and significantly increase the addition time. A parallel algori

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The S-threads environment for parallel symbolic computation,

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Reliability and Risk in Perspective,nted by a list of character strings recursively involving root indices, +, −, x, and integer terms or radicands. Algorithms for sums, products, etc., in the defining polynomial representation, are based on the theory of symmetric functions and have relatively efficient implementations using polynomi