Abstract
This paper discusses the dynamic and static balancing of non-homogenous cluster architectures, simultaneously analyzing the theoretical parallel speedup as well as the speedup experimentally obtained.
A classical application (Parallel N-Queens) with a parallel solution algorithm, where processing predominates upon communication, has been chosen so as to go deep in the load balancing aspects (dynamic or static) without distortion of results caused by communication overhead.
Four interconnected clusters have been used in which the machines within each cluster have homogeneous processors although different among clusters. Thus, the set can be seen as a N-processor heterogeneous cluster or as a multi-cluster scheme with 4 subsets of homogeneous processors.
At the same time, three forms of load distribution in the processors (Direct Static, Predictive Static and Dynamic by Demand) have been studied, analyzing in each case parallel speedup and load unbalancing regarding problem size and the processors used.
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References
Al-Jaroodi, J., Mohamed, N., Jiang, H., Swanson, D.: Modeling parallel applications performance on heterogeneous system. IEEE Computer Society Press, Los Alamitos (2003)
Bohn, C., Lamont, G.: Load balancing for heterogeneous clusters of PCs. Future Generation Computer Systems, Elsevier Science B.V. 18, 389–400 (2002)
Leopold, C.: Parallel and distributed computing. A survey of models, paradigms, and approaches. Wiley Series on Parallel and Distributed Computing. Albert Zomaya Series Editor (2001)
Baiardi, F., Chiti, S., Mori, P., Ricci, L.: Integrating load balancing and locality in the parallelization of irregular problems. Future Generation Computer Systems, Elsevier Science B 17, 969–975 (2001)
Naiouf, M.: Procesamiento paralelo. Balance dinámico de carga en algoritmos de sorting. Tesis doctoral. Universidad Nacional de La Plata, (2004)
Watts, J., Taylor, S.: A practical approach to dynamic load balancing. IEEE Transactions on Parallel and Distributed Systems 9(3), 235–248 (1998)
Dongarra, J., Foster, I., Fox, G., Gropp, W., Kennedy, K., Torczon, L., White, A.: The Sourcebook of Parallel Computing. Morgan Kauffman Publishers. Elsevier Science (2003)
Ross, K., Yao, D.: Optimal load balancing and scheduling in a distributed computer system. Journal of Association for Computing Machinery 38(3), 676–690 (1991)
Hui, C., Chanson, S.: Improve strategies for dynamic load balancing. IEEE Concurrency, 58–67 (1999)
Dongarra, J., Foster, I., Fox, G., Gropp, W., Kennedy, K., Torczon, L., White, A.: The Sourcebook of Parallel Computing. Morgan Kauffman Publishers. Elsevier Science (2003)
Bruen, A., Dixon, R.: Then n-queens problem. Discrete mathematics 12, 393–395 (1997)
De Giusti, L., Novarini, P., Naiouf, M., De Giusti, A.: Parallelization of the N-queens problem. Load unbalance analysis. Workshop de Procesamiento Paralelo y Distribuido (WPPD), Congreso Argentino de Ciencias de la Computación (CACIC 2003) (2003)
Hedetniemi, S., Hedetniemi, T., Reynolds, R.: Combinatorial problems on chessboards. In: Domination in graphs: advanced topic, pp. 133–162 (1998)
Bernhardsson, B.: Explicit solution to the n-queens problems for all n. ACM SIGART Bulletin 2, 7 (1991)
Somers, J.: The N-queens problem a study in optimization, http://www.jsomers.com/nqueen_demo/nqueens.html
Takaken, N-queens problem (number of solutions), http://www.ic-net.or.jp/home/takaken/e/queen/
De Giusti, L., Chichizola, F.: Optimización de N-queens Paralelo. Technical report III-LIDI (2006)
Grama, A., Gupta, A., Karypis, G., Kumar, V.: Introduction to parallel computing, 2nd edn. Pearson Addison Wesley (2003)
Jordan, H., Alaghband, G.: Fundamentals of parallel computing. Prentice-Hall, Englewood Cliffs (2002)
Tinetti, F.: Cómputo paralelo en redes locales de computadoras. Tesis Doctoral. Universidad Autónoma de Barcelona (2004)
Snir, M., Otto, S., Huss-Lederman, S., Walker, D., Dongarra, J.: MPI: The Complete Reference. The MIT Press, Cambridge (1996)
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Naiouf, M.R., De Giusti, L.C., Chichizola, F., De Giusti, A.E. (2006). Dynamic Load Balancing on Non-homogeneous Clusters. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds) Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops. ISPA 2006. Lecture Notes in Computer Science, vol 4331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11942634_8
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DOI: https://doi.org/10.1007/11942634_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49860-5
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