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Though massively parallel SIMD arrays continue to be promising for many computer vision applications, they have undergone few systematic empirical studies. The problems include the size of the architecture space, the lack of portability of the test programs, and the inherent complexity of simulating up to hundreds of thousands of processing elements. The(More)
SIMD arrays are likely to become increasingly important as coprocessors in domain specific systems as architects continue to leverage RAM technology in their design. The problem this work addresses is the efficient evaluation of SIMD arrays with respect to complex applications while accounting for operating frequency and chip area. The underlying issues(More)
Though massively parallel SIMD arrays continue to be promising for many computer vision applications, they have undergone few systematic empirical studies. The problems include the size of the architecture space, the lack of portability of the test programs, and the inherent complexity of simulating up to hundreds of thousands of processing elements. The(More)
SIMD arrays are likely to become increasingly important as coprocessors in domain speciic systems as architects continue to leverage RAM technology in their design. The problem this work addresses is the evaluation of SIMD arrays with respect to complex applications while accounting for operating frequency and chip area. The method we use is to bridge the(More)
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