To compete successfully in a world that is becoming more international and more competitive, we must increasingly become more effective in using technology, especially in our educational institutions. It is clear that...
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this paper describes a class of distributed objects, called aggregate objects, that can be partitioned across the processing nodes of a parallel system. Element objects are accessed according to the logical structure ...
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HIGHLAND, a distributed-memory parallelprocessing environment for heterogeneous local area networks, has been designed and implemented. Designed as both a teaching and a research tool, its purpose is to provide an ef...
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We can easily envision large scale MIMD machines solving complex problems of unpredictable behaviour in the area in artificial intelligence. Processor utilisation is the key factor that decides the speedup of a parall...
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A discrete event simulation model of air traffic flow within the United States has been written and executed on the Intel iPSC8/2 parallel system. the simulation program was written in an object oriented manner using ...
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A simple run-time load balancing strategy that can distribute work dynamically and evenly among a team of concurrently executing processors is discussed. An iterative, parallel domain splitting algorithm that subdivid...
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An log n time n/log n processor CREW PRAM algorithm to construct an alphabetic minimax tree is presented. the algorithm achieves these optimal bounds by a combination of existing parallel techniques (applied in novel ...
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In this paper we examine the problem of parallel program synchronization in the distributed memory system, (DMS). We assume that the DMS is composed of several processing elements, (PE), interconnected by a subnet, (S...
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One important reason for the lack of acceptance of coronary arteriography techniques is the four hours (approximate) required for accurate 3D quantification of an arterial tree, thus making it prohibitive for the clin...
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the importance of production systems in artificial intelligence has been repeatedly demonstrated by a number of expert systems. Much effort has therefore been expended on finding an efficient processing mechanism for ...
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ISBN:
(纸本)0818621087
the importance of production systems in artificial intelligence has been repeatedly demonstrated by a number of expert systems. Much effort has therefore been expended on finding an efficient processing mechanism for processing production systems. Variable resolution actors, called macroactors, a processing mechanism for production systems, are studied. A macrotoken, which is a collection of primitive data tokens, is introduced as a companion to macroactors. An approach to obtaining medium-grain parallelism, called macroactor/token, is investigated. A set of guidelines is identified in the context of production systems to derive well-formed macroactors from primitive macroactors. parallel pattern matching is written in macro actors/tokens to be executed on a macro-data-flow simulator. Simulation results demonstrate that the macro approach can be an efficient implementation of the production system paradigm.
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