Parallel and Distributed Computing Handbook
With over 1,000 pages and a wealth of illustrations and data tables, this handbook offers readers the first information source with the scope to encompass the parallel and distributed computing revolution. Written by an international team of experts, the book summarizes the current state of the art, interprets the most promising trends, and spotlights commercial applications.
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The Scene the Props the Players
Tools and Applications
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algebraic applications architecture array binary tree bound broadcast buffer cessors Chapter checkpointing circuit CISC communication complexity components computational model Computer Science concurrent cycle data structures dataflow defined denoted Distributed Computing distributed systems edge efficient elements Euler tour example execution Figure function given hardware hypercube IEEE implementation input instruction interconnection network interfaces interval label language MasPar matrix MIMD multiple NDTM node NP-complete number of processors O(log operations optimal parallel algorithms Parallel and Distributed parallel computation Parallel Processing parallel program path performance Petri nets pipeline pixels polynomial PRAM PRAM model prefix sums problem PSPACE random recursive relation result RISC rithm scheduling scheme Section semantic definition sequence sequential shared memory SIMD simulate solvable solved sorting space specification step superscalar synchronization techniques tion tokens transition system Turing Turing machine variables vertex VLIW VLSI