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Scheduling data-flow graphs via retiming and unfolding

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2 Author(s)
Chao, L.-F. ; Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Sha, E.H.-M.

Loop scheduling is an important problem in parallel processing. The retiming technique reorganizes an iteration; the unfolding technique schedules several iterations together. We combine these two techniques to obtain a static schedule with a reduced average computation time per iteration. We first prove that the order of retiming and unfolding is immaterial for scheduling a data-flow graph (DFG). From this nice property, we present a polynomial-time algorithm on the original DFG, before unfolding, to find the minimum-rate static schedule for a given unfolding factor. For the case of a unit-time DFG, efficient checking and retiming algorithms are presented

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Parallel and Distributed Systems, IEEE Transactions on  (Volume:8 ,  Issue: 12 )