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Line 5: In this class of computing, all of the processing elements are connected together to be one very large computer. This is in contrast to [[distributed computing]] where massive numbers of separate computers are used to solve a single problem. Through advances in [[Moore's Law]], System-On-Chip (SOC) implementations of massively parallel architectures are becoming cost effective, and finding particular application in high definition video processing. For example, the Linedancer family of Extreme Processors from Aspex Semiconductor integrate 4,096 processing elements onto a single chip in a [[SIMD]] architecture known as Associative String Processing. ==See also==

Massive parallel processing: Difference between revisions