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Computer Architectures for Spatially Distributed Data by Per-Erik Danielsson (auth.), Herbert Freeman, Goffredo G.

By Per-Erik Danielsson (auth.), Herbert Freeman, Goffredo G. Pieroni (eds.)

These are the lawsuits of a NATO complex learn Institute (ASI) held in Cetraro, Italy in the course of 6-17 June 1983. The name of the ASI was once laptop Arehiteetures for SpatiaZZy vistributed Vata, and it brouqht jointly a few 60 members from Europe and the US. awarded ~ere are 21 of the lectures that have been brought. The articles hide a large spectrum of themes regarding computing device structure s in particular orientated towards the short processing of spatial facts, and symbolize an outstanding evaluation of the state of the art of this subject. For greater than two decades now researchers in development reputation, picture processing, meteorology, distant sensing, and machine engineering were having a look towards new different types of desktop architectures to hurry the processing of knowledge from - and three-d methods. The paintings may be stated to have started with the landmark article by way of Steve Unger in 1958, and it bought a robust ahead push with the improvement of the ILIAC III and IV desktops on the college of Illinois through the 1960's. One transparent trouble confronted via the pc designers in these days used to be the difficulty of the state of the art of undefined, whilst the one switching units to be had to them have been discrete transistors. As aresult parallel processing used to be quite often thought of to be imprae­ tieal, and comparatively little growth used to be made.

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Cantoni Dipartimento di Informatica e Sistemistica Universita di Pavia Strada Nuova 106/c 27100 Pavia (Italy) ABSTRACT Over the last years a number of classification schemes for image processing architectures have been presented, five of them are discussed here with the purpose of pointing out the design principles of the existing systems. These five schemes focus the attention on different structural characteristics: matching to data or computa tion structures; interprocessor communication modes; levels of parallelism; subarrays composition; image memory storage and management.

R. , Bristol, 1981. 6. Handler: "The impact of classification schemes on computer architecture", Proc. IEEE Int. conf. 7-33. 7. V. Cantoni, S. Levialdi: "Matehing the task to an image processing archi teeture", Computer Vision Graphies and Image proeessing, vol. 22, N. 2, 1983, p. 301-309. 8. K. Palem, S. S. J. Welch: "Image processing architectures: a taxonomy and survey" University of Texas and Austin, TR-82-6. 9. V. Cantoni, S. Levialdi, C. B. Duff Ed. 43-56. effec- "ParalleI computers", Adam Hilger 10.

Full array processor. This class corresponds to that of the SIMD machines in the Flynn's taxonomy. The approach is to set up systems using the largest number of processors (compatible with economical and technological reasons) operating in parallel, by simplifying the single processing unit (usually in these cases the arithmetic is bit-serial). Up to now the maximum array built is the MPP (Goodyear Aerospace for NASA) that contains 128x128 processing uni ts. Performing local operations, difficult ies arise in the border processors, and in the case of i tera ti ve local operations, the useful part of the array propagates inward at every operation.

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