Abstract
In a previous work we proposed a new model that predicts the execution time of a regular application on a heterogeneous parallel environment. The model considers that a heterogeneous cluster is composed by distinct types of processors, accelerators and networks. This work further details and proposes some modifications to the original model, as well as evaluate it on a heterogeneous cluster environment. The results have show that the worst error in the estimations of the parallel execution time was about 12.7%, and, in many cases, the estimated execution time is equal to or very close to the actual one.
The authors would like to thank UFJF, FAPEMIG, CAPES, and CNPq for supporting this research.
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Bailey, D.H., Barszcz, E., Barton, J.T., Browning, D.S., Carter, R.L., Dagum, L., Fatoohi, R.A., Frederickson, P.O., Lasinski, T.A., Schreiber, R.S., et al.: The NAS parallel benchmarks. Int. J. High Perform. Comput. Appl. 5(3), 63–73 (1991)
Culler, D., Karp, R., Patterson, D., Sahay, A., Schauser, K.E., Santos, E., Subramonian, R., von Eicken, T.: Logp: towards a realistic model of parallel computation. SIGPLAN Not. 28(7), 1–12 (1993)
Doerfler, D., Brightwell, R.: Measuring MPI send and receive overhead and application availability in high performance network interfaces. In: Mohr, B., Träff, J.L., Worringen, J., Dongarra, J. (eds.) EuroPVM/MPI 2006. LNCS, vol. 4192, pp. 331–338. Springer, Heidelberg (2006). https://doi.org/10.1007/11846802_46
LeVeque, R.: Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems (Classics in Applied Mathematics Classics in Applied Mathematics). SIAM, Philadelphia (2007)
Pigozzo, A.B., Macedo, G.C., Santos, R.W., Lobosco, M.: On the computational modeling of the innate immune system. BMC Bioinform. 14(Suppl. 6), S7 (2013)
Rocha, P.A.F., Xavier, M.P., Pigozzo, A.B., de M. Quintela, B., Macedo, G.C., dos Santos, R.W., Lobosco, M.: A three-dimensional computational model of the innate immune system. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012. LNCS, vol. 7333, pp. 691–706. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31125-3_52
Soares, T.M., Xavier, M.P., Pigozzo, A.B., Campos, R.S., dos Santos, R.W., Lobosco, M.: Performance evaluation of a human immune system simulator on a GPU cluster. In: Malyshkin, V. (ed.) PaCT 2015. LNCS, vol. 9251, pp. 458–468. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21909-7_44
Soares, T.M., dos Santos, R.W., Lobosco, M.: A parallel model for heterogeneous cluster. In: Carretero, J., et al. (eds.) ICA3PP 2016. LNCS, vol. 10049, pp. 76–90. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49956-7_6
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Soares, T.M., dos Santos, R.W., Lobosco, M. (2018). Evaluation of HCM: A New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Cluster. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10778. Springer, Cham. https://doi.org/10.1007/978-3-319-78054-2_6
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DOI: https://doi.org/10.1007/978-3-319-78054-2_6
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