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<p>Configurable computing systems combine programmable hardware with programmable processors to capitalize on the strengths of hardware and software. They have the potential for achieving high performance for a range of applications, including image filtering, convolution, morphology, feature extraction, and object tracking. </p> <p>Researchers have developed prototype systems that achieve performance an order of magnitude higher than more conventional approaches. However, realizing this potential outside of the laboratory has proven difficult. No system to date has yet proven attractive or competitive enough to establish a commercial presence. </p> <p>Ample opportunity exists for work in a broad range of areas. Not surprisingly, many of the most pressing needs can be lumped into the category of FPGA-related technology, because so many configurable computing systems are based on FPGAs. </p>
John Morris, André DeHon, David Andrews, Carl Ebeling, Henk A.E. Spaanenburg, Oskar Mencer, William H. Mangione-Smith, Reiner Hartenstein, Viktor K. Prasanna, Brad Hutchings, Krishna Palem, "Seeking Solutions in Configurable Computing", Computer, vol. 30, no. , pp. 38-43, December 1997, doi:10.1109/2.642810
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