Abstract
A considerable number of algorithms, of interest for image processing and general matrix analysis problems, operate on certain predefined streams of data. This paper presents an architectural framework to tackle these algorithms, namely parallel/pipeline architectures builded with “scan-directional” memories. The paper analyzes the realization of such memory modules for simultaneous fast access on various scan-directions, e.g., lines, columns, diagonals, Peano-curve, bit-reversed, etc. Some of the most important treatments (matrix transposition, multiplication, inversion, Schur complement, orthogonal transforms, linear, non-linear image filtering, etc.) fit into the scan-directional frame. Their implementation is investigated.
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Coltuc, D., Becker, J.M. (1997). Scan-directional architectures. In: Palma, J.M.L.M., Dongarra, J. (eds) Vector and Parallel Processing — VECPAR'96. VECPAR 1996. Lecture Notes in Computer Science, vol 1215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62828-2_111
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DOI: https://doi.org/10.1007/3-540-62828-2_111
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