A Performance Study of Parallel Programming via CPU and GPU on Swarm Intelligence Based Evolutionary Algorithm
Author:
Affiliation:
1. College of Electrical Engineering & Computer Science, National Taiwan University, Taipei, Taiwan
2. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
Funder
Academia Sinica
Ministry of Science and Technology, Taiwan
Publisher
ACM Press
Reference14 articles.
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2. C. C. Kannas, C. A. Nicolaou, and C. S. Pattichis, "A Parallel Implementation of a Multi-objective Evolutionary Algorithm," in Proc. 9th International Conf. on ITAB, pp. 1--6, Nov. 2009.
3. S. Iturriaga, and S. Nesmachnow, "Solving very large optimization problems (up to one billion variables) with a parallel evolutionary algorithm in CPU and GPU," in Proc. Seventh International Conf. on 3PGCIC, pp. 267--272, Nov. 2012.
4. E. Alba, Parallel Metaheuristics: A New Class of Algorithms. Wiley-Interscience, 2005.
5. P. Emeliyanenko, "Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra," J. Parallel and Distributed Computing, vol. 73, no. 11, pp. 1494--1505, Nov. 2013.
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