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Parallel computing is the only viable, cost-effective approach to meeting the timing constraints of many high performance signal processing applications. The computational and/or I/O requirements of a single application can overwhelm the capabilities of a sequential computer. Applications in array signal processing and image processing perform complex sequences of matrix computations, have streaming data requirements in excess of one Gbits/s, and must execute in 10 ms or less. The operating constraints of these applications mandate the use of parallel computing.
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