Abstract
Tools for optimizing the performance of parallel programs on multi-architectural distributed computing systems are considered. A method for optimizing the embedding of parallel MPI-program into computing clusters with a hierarchical communication network structure is described. An adaptive approach to the delta optimization of restore points is proposed for effective fault-tolerant simulation on distributed computing systems.
Similar content being viewed by others
References
P. Novikov, Zh. Smagina, D. Vlasov, et al., “Space Arrangement of Ge Nanoislands Formed by Growth of Ge on Pit-Patterned Si Substrates,” J. Crystal Growth. 323(1), 198–200 (2011).
A. V. Nenashev and A. V. Dvurechenskii, “Strain Distribution in Quantum Dot of Arbitrary Polyhedral Shape: Analytical Solution,” J. Appl. Phys. 107(6), 064322 (2010).
V. G. Khoroshevskii, “Distributed Computing Systems with Programmable Structure,” Vestn. Sib. Gos. Univ. Telekom. Inform. 2(10), 3–41 (2010).
S. V. Shidlovskii, V. I. Syryamkin, and V. S. Shidlovskii, “Tunable Computing Media in Multivariable Control System,” Telekommunikatsii, No. 10, 28–32 (2010).
F. Broquedis, J. Clet-Ortega, S. Moreaud, et al., “hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications,” in 18th Intern. Conf. on Parallel, Distributed and Network-Based Processing, Pisa, Italy, 17–19 Feb., 2010, pp. 180–186.
T. Hoefler and M. Snir, “Generic Topology Mapping Strategies for Large-Scale Parallel Architectures,” in Proc. of the ACM Intern. Conf. on Supercomputing, Tucson, USA, June, 2011, pp. 75–85.
P. Balaji, R. Gupta, A. Vishnu, and P. Beckman, “Mapping Communication Layouts to Network Hardware Characteristics on Massive-Scale Blue Gene Systems,” J. Comput. Sci. Res. Dev. 26(3), 247–256 (2011).
V. Schroeder and G. A. Gibson, “A Large-Scale Study of Failures in High-Performance Computing Systems,” in Proc. of the Intern. Conf. on Dependable Systems and Networks, Philadelphia, USA, June 25–28, 2006, pp. 249–258.
J. Ansel, K. Arya, and G. Cooperman, DMTCP: Transparent “Checkpointing for Cluster Computations and the Desktop,” in Proc. of the IEEE Intern. Parallel and Distributed Processing Symposium (IEEE Press, 2009), pp. 1–12.
S. A. Kiswany, M. Ripeanu, S. S. Vazhkudai, and A. Gharaibeh, “stdchk: A Checkpoint Storage System for Desktop Grid Computing,” in Proc. of the 28th Intern. Conf. on Distributed Computing Systems (Washington, IEEE Computer Society, 2008), pp. 613–624.
C. Wang, F. Mueller, C. Engelmann, and S. L. Scott, “Hybrid Checkpointing for MPI Jobs in HPC Environments,” in Proc. of the 16th IEEE Intern. Conf. on Parallel and Distributed Systems (Washington, IEEE, 2010), pp. 524–533.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © K.V. Pavskii, M.G. Kurnosov, A.Yu. Polyakov, 2014, published in Avtometriya, 2014, Vol. 50, No. 3, pp. 56–61.
About this article
Cite this article
Pavskii, K.V., Kurnosov, M.G. & Polyakov, A.Y. Optimization tools of parallel simulation of nanostructures with quantum dots. Optoelectron.Instrument.Proc. 50, 260–265 (2014). https://doi.org/10.3103/S8756699014030078
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S8756699014030078