Rights accessRestricted access - publisher's policy
In this paper, we present a parallel multilevel ILU preconditioner implemented with OpenMP. We employ METIS partitioning algorithms to decompose the computation into concurrent tasks, which are then scheduled to threads. Concretely, we combine decompositions which obtain significantly more tasks than processors, and the use of dynamic scheduling strategies in order to reduce the thread’s idle time, which it is shown to be the main source of overhead in our parallel algorithm. Experimental results on a shared-memory platform consisting of 16 processors report remarkable performance for our approach.
CitationAliaga, J. I. [et al.]. Design, tuning and evaluation of parallel multilevel ILU preconditioners. A: International Meeting High Performance Computing for Computational Science. "High Performance Computing for Computational Science: VECPAR 2008: 8th international conference: Toulouse, France, June 24 -27, 2008: revised selected papers". Toulouse: 2008, p. 314-327.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: firstname.lastname@example.org