Abstract
In this paper, we discuss the parallelization of power systems simulation using modern clusters consisting of multi-core compute nodes interconnected by a low latency interconnect. We describe an implementation strategy that exploits three types of parallelization that are amenable to the various types of inter-core “connectivity” commonly seen in such clusters. We also consider a set of design criteria that are important to Small-Medium Enterprises (SMEs) and how they affect implementation strategy. We report the results of some initial experiments done using components that will form a part of the prototype system under construction and then discuss the expected performance gains for the entire system based on manpower invested. We also identify several key factors in design for SMEs that differentiate their parallel systems needs from those of large organizations and research scientists.
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References
Heidari, M., Filizadeh, S., Gole, A.M.: Support tools for simulation-based optimal design of power networks with embedded power electronics. IEEE Transactions on Power Delivery 23(3), 1561–1570 (2008)
Gole, A.M., Filizadeh, S., Menzies, R.W., Wilson, P.L.: Optimization-enabled electromagnetic transient simulation. IEEE Transactions on Power Delivery 20(1), 512–518 (2005)
EMTDC: User’s Guide. Manitoba HVDC Research Center (2003)
Haupt, R.L., Haupt, S.E.: Practical Genetic Algorithms. John Wiley and Sons, New York (1998)
Kobravi, K.: Optimization-enabled transient simulation for design of power circuits with multi-modal objective functions. Master’s thesis, Electrical and Computer Engineering, University of Manitoba (2007)
Chong, E., Kah, P.: An introduction to optimization. John Wiley and Sons, New York (2001)
Burgess, S.: Managing Information Technology in Small Business: Issues and Challenges. Idea Group, Hershey (2002)
Dommel, H.W.: Digital computer solution of electromagnetic transients in single- and multiphase networks. IEEE Transactions on Power Apparatus and Systems PAS-88(4) (1969)
Boden, N., Cohen, D., Felderman, R., Kulawik, A., Sietz, C., Seizovic, J., Su, W.: Myrinet: A Gigabit per second Local Area Network. IEEE Micro 15(1), 29–36 (1995)
Infiniband Trade Association, http://www.infinibandta.org/specs/
Metcalfe, T., Charbonneau, P.: Stellar structure modeling using a parallel genetic algorithm for objective global optimization. Journal of Computational Physics 185, 176–193 (2003)
Parsopoulos, K.E., Tasoulis, D.K., Vrahatis, M.N.: Multiobjective optimization using parallel vector evaluated particle swarm optimization. In: Artificial Intelligence and Applications (2004)
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Pourreza, H., Gole, A., Filizadeh, S., Graham, P. (2010). Parallelizing Power Systems Simulation for Multi-core Clusters: Design for an SME. In: Mewhort, D.J.K., Cann, N.M., Slater, G.W., Naughton, T.J. (eds) High Performance Computing Systems and Applications. HPCS 2009. Lecture Notes in Computer Science, vol 5976. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12659-8_13
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DOI: https://doi.org/10.1007/978-3-642-12659-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12658-1
Online ISBN: 978-3-642-12659-8
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