Titlebook: Euro-Par‘96 - Parallel Processing; Second International Luc Bougé,Pierre Fraigniaud,Yves Robert Conference proceedings 1996 Springer-Verlag

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prostatitis

Die Grundgleichungen der Mechaniketermination of the solution of many of the important problems encountered in scientific and engineering applications. A common characteristic of two distinct classes of iterative methods for the computation of such eigenvalues and eigenvectors is the construction of a sequence of subspaces which co

同时发生

Ungrund und Schweben: Erster Grundsatz, The algorithm is implemented using PVM and tested on a variety of matrices with a load balancing scheme. Test results show that the algorithm has high parallel efficiency. Compared with other existing algorithms, our algorithm seems to be the best for distributed memory parallel architecture.

Compass

E. Skudrƶyk B. Sc. (Eng.) A. C. G. I.ution of stiff systems of ordinary differential equations. We discuss different strategies for the implementation of the method on distributed memory multiprocessors, which mainly differ in the data distribution and the order of independent computations. In particular, we consider a . that executes

铁砧

https://doi.org/10.1007/978-3-663-04630-1on the independent solution of many problems with reduced size and their linear combination. The algorithm for 3-dimensional problems is described. Its parallel implementation on an IBM SP2 and a cluster of 16 HP workstations is discussed.

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Begriff und Aufgaben der Hochfrequenztechnikd without absorption with almost optimal transition frequency function..Recently Alexandrov, Megson and Dimov has shown that an .×. matrix can be inverted in 3./2 + . steps on regular arrays with .(...) cells. A number of bounds on . and . have been established (. is the number of chains and . is th

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Saul Dushman,R. G. Berthold,E. Reimannive methods can be parallelized. The performance of the serial code is discussed on a vector system and on a RISC processor. The performance depends very much on the memory architecture. The parallel version of the code is written using MPI. We obtain good parallel speedup when the elements of the c

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