Abstract
We present fast algorithms for merging and sorting of data on a multiprocessor system connected through a Partitioned Optical Passive Stars (POPS) network. In a POPS(d, g) network there are n = dg processors and they are divided into g groups of d processors each. There is an optical passive star (OPS) coupler between every pair of groups. Each OPS coupler can receive an optical signal from any one of its source nodes and broadcast the signal to all the destination nodes. The time needed to perform this receive and broadcast is referred to as a slot and the complexity of an algorithm using the POPS network is measured in terms of number of slots it uses. Our sorting algorithm is more efficient compared to a simulated hypercube sorting algorithm on the POPS.KeywordsSource NodeDestination NodeBinary SearchSorting AlgorithmLarge Group SizeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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