Abstract
Large problem classes in natural and engineering sciences demand high computational speed and big memory space. These requirements can be satisfied by high performance multiprocessor systems with appropriate architecture such as to allow for efficient mapping of the problem structure onto the multiprocessor structure. Because of a broad variation of the computational parameters of the problems a flexible general purpose computer architecture is needed. Distribution of different functions onto the multiprocessor system such as user’s program execution, operating system functions, input/output etc. can be achieved through space-sharing. This favors hierarchically structured architectures, in particular pyramidal systems.
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Fritsch, G. (1986). General Purpose Pyramidal Architectures. In: Cantoni, V., Levialdi, S. (eds) Pyramidal Systems for Computer Vision. NATO ASI Series, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82940-6_3
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DOI: https://doi.org/10.1007/978-3-642-82940-6_3
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