In this paper we investigate a new algorithm for the Feedback-Guided Dynamic Loop Scheduling (FGDLS) method in the discrete case. The method uses a feedbackguided mechanism to schedule a parallel loop within a sequential outer loop. The execution times and the scheduling bounds for the current outer iteration are used to find the scheduling bounds of the next outer iteration. An O(p+logp)algorithm has been proposed for the discrete case where it was proved to achieve optimal bounds in only a few iterations. This articles introduces an O(logp) algorithm for the discrete case and presents some properties of it.
Citation:
Tatiana Tabirca, Sabin Tabirca, Laurence Tianruo Yang, "An O(logp) Algorithm for the Discrete Feedback Guided Dynamic Loop," aina, vol. 1, pp.321-326, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006