Titlebook: Languages and Compilers for Parallel Computing; 5th International Wo Utpal Banerjee,David Gelernter,David Padua Conference proceedings 1993

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Using profile information to assist advanced compiler optimization and scheduling,ode transformations which expose instruction-level parallelism typically take into account the constraints imposed by all execution scenarios in the program. However, there are additional opportunities to increase instructionlevel parallelism along the frequent execution scenario at the expense of t

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Compositional C++: Compositional parallel programming,of its components. In this paper, we describe a . extension of C++ called Compositional C++ or CC++ which is an object-oriented notation that supports compositional parallel programming. CC++ integrates different paradigms of parallel programming: data-parallel, task-parallel and object-parallel par

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Data parallelism and Linda,el codes? This question gives rise to a number of others. Will such use be unwieldy? Will the resulting code run well? What can such an approach offer beyond merely replicating, in a more labor intensive way, the services and coverage of data parallel languages? We investigate these questions via a