Abstract
The Network Search method is not yet widely used in computational simulations due to its high processing time in the solutions’ calculation. In this sense, this paper seeks to analyze the gains achieved with the parallel implementation of the Network Search method algorithm for shared memory systems. The results achieved with the parallel implementation of the algorithm applied in a real water cooling system achieved a reduction of the total execution time by up to 160 times and reduction of energy consumption by up to 60 times. Given the significant reduction of the execution time achieved with the parallelization of the Network Search method, it can be applied in different scientific problems in substitution of other methods that have less accuracy in their results.
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References
Andreolli, C., Thierry, P., Borges, L., Skinner, G., Yount, C.: Characterization and optimization methodology applied to stencil computations. In: Reinders, J., Jeffers, J. (eds.) High Performance Parallelism Pearls, pp. 377–396. Morgan Kaufmann, Boston (2015)
Blake, G., Dreslinski, R., Mudge, T.: A survey of multicore processors. IEEE Signal. Proc. Mag. 26(6), 26–37 (2009)
Buck, I., et al.: Brook for GPUs: stream computing on graphics hardware. ACM Trans. Graph. (TOG) 23(3), 777–786 (2004)
Caballero, D., Farrés, A., Duran, A., Hanzich, M., Fernández, S., Martorell, X.: Optimizing fully anisotropic elastic propagation on Intel Xeon Phi coprocessors. In: 2nd EAGE Workshop on HPC for Upstream, pp. 1–6 (2015)
Cruz, E.H., Diener, M., Serpa, M.S., Navaux, P.O.A., Pilla, L., Koren, I.: Improving communication and load balancing with thread mapping in manycore systems. In: 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), pp. 93–100. IEEE (2018)
Diefenthäler, A.T., Avi, P.C.: Determinać cão da curva de resfriamento da água em ampolas de garrafas térmicas. In: Anais do VII MCSUL - Conferência Sul em Modelagem Computacional, Rio Grande/RS (2016)
Diefenthäler, A.T., Avi, P.C., Padoin, E.L.: Processamento paralelo na determinać cão da curva de resfriamento da Água pelo método de procura em rede. In: Congresso Nacional de Matemática Aplicada e Computacional (CNMAC), São José dos Campos/SP (2017)
Dongarra, J., Luszczek, P.: Anatomy of a globally recursive embedded LINPACK benchmark. In: 16th IEEE High Performance Extreme Computing Conference (HPEC) (2012)
Engl, H.W., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Mathematics and Its Applications. Springer, Dordrecht (1996). 322 p
Hadarmard, J.: Lectures on the Cauchy Problem in Linear Partial Differential Equation. Yale University Press, New Haven (1923). 338 p
Halliday, D., Resnick, R., Walker, J.: Fundamentos de física, volume 2: gravitação, ondas e termodinâmica, vol. 8. LTC, Rio de Janeiro (2009). 295 p
He, J., Chen, W., Tang, Z.: NestedMP: enabling cache-aware thread mapping for nested parallel shared memory applications. Parallel Comput. 51, 56–66 (2016)
Huang, S., Xiao, S., Feng, W.C.: On the energy efficiency of graphics processing units for scientific computing. In: IEEE International Symposium on Parallel & Distributed Processing, IPDPS, pp. 1–8. IEEE (2009)
Ibarra, J.R.M.: La materia a muy bajas temperaturas. Revista Ingenierías 11(38), 7–16 (2008)
Incropera, F.P., Dewitt, D.P.: Fundamentos de transferência de calor e de massa, vol. 6. LTC, Rio de Janeiro (2011). 698 p
Jiao, Y., Lin, H., Balaji, P., Feng, W.: Power and performance characterization of computational kernels on the GPU. In: IEEE/ACM International Conference on Green Computing and Communications (GreenCom) and International Conference on Cyber, Physical and Social Computing (CPSCom), pp. 221–228. IEEE (2010)
Liu, G., Schmidt, T., Dömer, R., Dingankar, A., Kirkpatrick, D.: Optimizing thread-to-core mapping on manycore platforms with distributed tag directories. In: 20th Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 429–434. IEEE (2015)
Luk, C., Hong, S., Kim, H.: Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping. In: Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture, pp. 45–55. ACM (2009)
Marques, N.R.L., Araujo, I.S.: Física térmica. In: Textos de apoio ao professor de Física, no. 5. vol. 20. UFRGS, Instituto de Física, Porto Alegre/RS (2009). 73 p
Padoin, E.L., de Oliveira, D.A.G., Velho, P., Navaux, P.O.A.: Time-to-solution and energy-to-solution: a comparison between ARM and Xeon. In: Third Workshop on Applications for Multi-Core Architectures (WAMCA SBAC-PAD), New York, USA, pp. 48–53 (2012). https://doi.org/10.1109/WAMCA.2012.10
Padoin, E.L., Pilla, L.L., Boito, F.Z., Kassick, R.V., Velho, P., Navaux, P.O.A.: Evaluating application performance and energy consumption on hybrid CPU+GPU architecture. Cluster Comput. 16(3), 511–525 (2013). https://doi.org/10.1007/s10586-012-0219-6
Padoin, E.L., Pilla, L.L., Castro, M., Boito, F.Z., Navaux, P.O.A., Mehaut, J.F.: Performance/energy trade-off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge. IET Comput. Digital Tech. 2(3), 1–14 (2014)
Serpa, M.S., Krause, A.M., Cruz, E.H., Navaux, P.O.A., Pasin, M., Felber, P.: Optimizing machine learning algorithms on multi-core and many-core architectures using thread and data mapping. In: 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 329–333. IEEE (2018)
Silva, B.F.: Método da procura em rede melhorado: uma proposta para a estimação dos parâmetros do modelo de rakhmatov e vrudhula. Dissertação de Mestrado do Programa de Pós-Graduação em Modelagem Matemática da Unijuí, Maio 2013. 64 p
Silva Neto, A.J.: Técnicas de inteligência computacional inspiradas na natureza: Aplicações em problemas inversos em transferência radiativa. In: Notas em Matemática Aplicada, 2nd ed. vol. 41. SBMAC, São Carlos/SP (2012). 148 p
Silva Neto, A.J., Moura Neto, F.D.: Problemas Inversos: Conceitos Fundamentais e Aplicações. UERJ, Rio de Janeiro (2005). 168 p
Tousimojarad, A., Vanderbauwhede, W.: An efficient thread mapping strategy for multiprogramming on manycore processors. In: Parallel Computing: Accelerating Computational Science and Engineering (CSE), Advances in Parallel Computing, vol. 25, pp. 63–71 (2014)
Valero, M.: Towards ExaFlop supercomputers. In: High Performance Computing Academic Research Network (HPC-net), Rio Patras, Greece, pp. 1–117 (2011)
Acknowledgments
This work has been partially supported by PETROBRAS oil and gas company under Ref. 2016/00133-9 and the project GREEN-CLOUD: Computação em Cloud com Computação Sustentavel (Ref. 16/2551-0000 488-9), from FAPERGS and CNPq Brazil, program PRONEX 12/2014 and CNPq-Universal 436339/2018-8. We also thank RICAP, partially funded by the Ibero-American Program of Science and Technology for Development (CYTED), Ref. 517RT0529.
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Padoin, E.L. et al. (2020). Optimizing Water Cooling Applications on Shared Memory Systems. In: Crespo-Mariño, J., Meneses-Rojas, E. (eds) High Performance Computing. CARLA 2019. Communications in Computer and Information Science, vol 1087. Springer, Cham. https://doi.org/10.1007/978-3-030-41005-6_1
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