
arXiv: 1904.08233
This paper introduces a new mapping of geometrical transformation on the MorphoSys (M1) reconfigurable computing (RC) system. New mapping techniques for some linear algebraic functions are recalled. A new mapping for geometrical transformation operations is introduced and their performance on the M1 system is evaluated. The translation and scaling transformation addressed in this mapping employ some vector-vector and vector-scalar operations [6-7]. A performance analysis study of the M1 RC system is also presented to evaluate the efficiency of the algorithm execution. Numerical examples were simulated to validate our results, using the MorphoSys mULATE program, which emulates M1 operations.
22 pages, 17 figures, 5 tables. arXiv admin note: substantial text overlap with arXiv:1904.04953; text overlap with arXiv:1904.06198
MorphoSys, B.4.4, FOS: Computer and information sciences, geometrical transformations, B.5.2, parallel processing, B.6.3, Reconfigurable computing, B.5.1, parallel algorithms, coarse grained systems, performance evaluation, Computer Science - Distributed, Parallel, and Cluster Computing, Hardware Architecture (cs.AR), B.4.4; B.5.1; B.5.2; B.6.3, Distributed, Parallel, and Cluster Computing (cs.DC), Parallel algorithms in computer science, Computer Science - Hardware Architecture
MorphoSys, B.4.4, FOS: Computer and information sciences, geometrical transformations, B.5.2, parallel processing, B.6.3, Reconfigurable computing, B.5.1, parallel algorithms, coarse grained systems, performance evaluation, Computer Science - Distributed, Parallel, and Cluster Computing, Hardware Architecture (cs.AR), B.4.4; B.5.1; B.5.2; B.6.3, Distributed, Parallel, and Cluster Computing (cs.DC), Parallel algorithms in computer science, Computer Science - Hardware Architecture
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