Titlebook: CONPAR 90 - VAPP IV; Joint International Helmar Burkhart Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Debugging.Scal

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Parallel givens factorization on a shared memory multiprocessor,trices [6]. For the rectangular case the problem of the optimality (construction and execution time of the optimal algorithm) is still open. In this paper we describe two parallel algorithms to compute the Givens factorization of a rectangular matrix of size mxn (m ≥ n). The first one is formulated

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Parallel implementation of logic languages,roach in which, a logic program is translated to obtain processes that are look-alike Occam programs implementable on any platform that supports extended Occam. Besides the use of an intermediate language, the other main features of this implementation are

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The ELAN performance analysis environment,urement equipment for program observation as well as for performance and loss-analysis in a multiprocessor system. In this paper first some basic notions and a classification of all sources of performance loss in a multiprocessor are given. Then we present an experimental environment which comprises

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An adaptive blocking strategy for matrix factorizations,lock algorithms have been successful for matrix computations. By considering a matrix as a collection of submatrices (the so-called blocks) one naturally arrives at algorithms that require little data movement. The optimal blocking strategy, however, depends on the computing environment and on the p

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0302-9743 r market segments in scientific computing. The 1990s are likely to become the decade of parallel processing. .CONPAR 90 - VAPP IV. is the joint successor meeting of two highly successful international conference series in the field of vector and parallel processing. This volume contains the 79 paper

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https://doi.org/10.1007/978-3-322-85929-7number of important applications — although using a processor hardware being more simple than that of a single RISC microprocessor. The most important hardware features of xputer will be briefly introduced. By means of 2 simple algorithm examples the programming paradigm and its flexibility will be illustrated.

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A novel paradigm of parallel computation and its use to implement simple high performance hardware,number of important applications — although using a processor hardware being more simple than that of a single RISC microprocessor. The most important hardware features of xputer will be briefly introduced. By means of 2 simple algorithm examples the programming paradigm and its flexibility will be illustrated.