Massively Parallel Processing Applications and Development: Proceedings of the 1994 EUROSIM Conference on Massively Parallel Processing Applications and Development, Delft, The Netherlands, 21-23 June 1994
Leendert Dekker, W. Smit, J. C. Zuidervaart
Elsevier, 1994 - Computers - 973 pages
The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication.From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software.Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.
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1994 Elsevier Science abstraction allocation Applications and Development approach architecture array B.V. All rights block calculated cellular automaton communication compiler conﬁguration data parallel data transfer database decomposition deﬁned deﬁnition distributed domain dynamic efﬁcient elements Elsevier Science B.V. environment equations evaluation example execution Figure ﬁrst Fortran function genetic algorithm global graph grid points hardware heuristic hypercube IEEE implementation integration interface iteration latency layer load balancing loop mapping MasPar Massively Parallel Processing matrix memory message passing method MIMD node number of processors object operation optimal packet parallel algorithm parallel computers parallel machines Parallel Processing Applications parallel program parallel systems parallelisation parameters partitioning PCTE performance problem Proc processors scalability SCET sequential shallow water equations SIMD simulation Smit and J.C. solution speciﬁc speedup SPMD strategy subdomains synchronous task techniques topology transputer vector workstation Zuidervaart Editors