Results 271 to 280 of about 639,715 (318)

A perspective on parallel processing

1988
Parallel processing is one of the most important areas of computer science research. Experience with highly parallel processing is quite limited today and several architecture, systems, and software alternatives need to be investigated. In particular, much further work is required on software issues.
Tilak Agerwala, Stephen L. Harvey
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Semirings and Parallel Composition of Processes

J. Autom. Lang. Comb., 1996
Journal of Automata, Languages and Combinatorics, Volume 1, Number 3, 1996, 199 ...
Jonathan S. Golan, Alexandru Mateescu, Dragos Vaida   +2 more
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Associative parallel processing

Proceedings of the April 18-20, 1967, spring joint computer conference on - AFIPS '67 (Spring), 1967
Several previous investigations have shown associative processors to have utility in solution of problems which allow the same operation to be performed simultaneously over many elements of a data set. Examples of such problems include picture processing, matrix manipulation, signal correlation, ELINT data processing and information retrieval.
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Parallel processing for biomedical signal processing

Computer, 1991
The authors describe how systematic mapping methodologies can be used to derive special-purpose processor arrays for the estimation of the bispectrum via the third-order moments. A novel design that is optimal in terms of total execution time for multiple pipelined data blocks is proposed, and it is shown how formal verification of the design can be ...
Elias S. Manolakos, Haris M. Stellakis, Dana H. Brooks   +2 more
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Parallel Processing in Boolean Algebra

IEEE Transactions on Computers, 1972
A processor called Boolean analyzer has been presented at the 1968 IFIP Congress to introduce parallel processing of Boolean expressions [1]. The present paper shows how to increase its speed many times by making its processing more parallel. The applications of the Boolean analyzer are limited to few but important problems.
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Divide-and-Conquer for Parallel Processing

IEEE Transactions on Computers, 1983
The well known divide-and-conquer paradigm has proved to be useful for deriving efficient algorithms for many problems. Several researchers have pointed out its usefulness for parallel processing; however, the problem of analyzing such parallel algorithms in a realistic setting has been largely overlooked. In this paper a realistic model for divide-and-
Ellis Horowitz, Alessandro Zorat
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Parallel processing in artificial intelligence

Parallel Computing, 1985
Intelligence, whether in a machine or in a living creature, is a mixture of many abilities. Our current artificial intelligence (AI) technology does a good job of emulating some aspects of human intelligence, generally those things that, when they are done by people, seem to be serial and conscious.
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Parallel architectures for image processing

COMPSAC 79. Proceedings. Computer Software and The IEEE Computer Society's Third International Applications Conference, 1979., 1981
Conventional computers do not readily lend themselves to picture processing. Digital image manipulation by conventional computer is accomplished only at a tremendous cost in time and conceptual distraction. Computer image processing is the activity of modifying a picture such that retrieval of relevant pictorially encoded information becomes trivial ...
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Parallel Processing with the Perfect Shuffle

IEEE Transactions on Computers, 1971
Given a vector of N elements, the perfect shuffle of this vector is a permutation of the elements that are identical to a perfect shuffle of a deck of cards. Elements of the first half of the vector are interlaced with elements of the second half in the perfect shuffle of the vector.
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Parallel Processing of Algebraic Expressions

IEEE Transactions on Electronic Computers, 1966
A classification of the objectives and types of parallel processing gives the context of the prinicipal subjects of this paper. A compiler and machine organization which are capable of detecting opportunities for parallel processing in algebraic expressions and executing these by multiple processing units operating concurrently are described.
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