Dynamic Load Balancing with the Parallel Partitioning Tool GridSpiderPar
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computational Mathematics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1134/S2070048222060072.pdf
Reference9 articles.
1. K. Schloegel, G. Karypis, and V. Kumar, “A unified algorithm for load-balancing adaptive scientific simulation,” in Proc. 2000 ACM / IEEE Conference on Supercomputing (SC’00), Dallas, TX, November 4–10, 2000, pp. 1–11. https://doi.org/10.1109/SC.2000.1003
2. K. Schloegel, G. Karypis, and V. Kumar, “Wavefront diffusion and LMSR: algorithms for dynamic repartitioning of adaptive meshes,” IEEE Trans. Parallel Distrib. Syst. 12 (5), 451– 466 (2001). https://doi.org/10.1109/71.926167
3. C. Walshaw, M. Cross, and M. G. Everett, “Parallel dynamic graph-partitioning for unstructured meshes,” Mathematics Research Report 97/IM/20 (Centre for Numerical Modelling and Process Analysis, University of Greenwich, UK, 1997), pp. 1–10; J. Parallel Distrib. Comput. 47 (2), 102–108 (1997). https://doi.org/10.1006/jpdc.1997.1407
4. U. V. Catalyurek, E. G. Boman, K. D. Devine, D. Bozdag, R. Heaphy, L. A. Riesen, “Hypergraph-based dynamic load balancing for adaptive scientific scientific computations,” in Proc. 21st International Parallel and Distributed Processing Symposium (IPDPS 2007), Long Beach, CA, March 26–30, 2007, pp. 1–11. https://doi.org/10.1109/IPDPS.2007.370258
5. U. V. Catalyurek and C. Aykanat, “Hypergraph-partitioning based decomposition for parallel sparse-matrix vector multiplication,” IEEE Trans. Parallel Distrib. Syst. 10 (7), 673–693 (1999). https://doi.org/10.1109/71.780863
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