By Jiang Xie, Zhangxin Chen, Craig C. Douglas, Wu Zhang, Yan Chen
This booklet constitutes the completely refereed complaints of the 3rd overseas convention on excessive functionality Computing and functions, HPCA 2015, held in Shanghai, China, in July 2015.
The 24 revised complete papers offered have been conscientiously reviewed and chosen from 50 submissions. The papers hide the next study components: numerical algorithms and strategies; excessive functionality and grid computing; novel approached to excessive functionality computing; titanic info garage and processing; acceleration; applications.
Read Online or Download High Performance Computing and Applications: Third International Conference, HPCA 2015, Shanghai, China, July 26-30, 2015, Revised Selected Papers PDF
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Extra info for High Performance Computing and Applications: Third International Conference, HPCA 2015, Shanghai, China, July 26-30, 2015, Revised Selected Papers
18(05), 369–383 (1978) 9. : A next-generation parallel reservoir simulator for giant reservoirs. In: SPE/EAGE Reservoir Characterization & Simulation Conference (2009) 10. : A parallel algorithm for adaptive local reﬁnement of tetrahedral meshes using bisection. Numer. Math. Theory, Methods Appl. 2, 65–89 (2009) 11. : An equation of state compositional model. SPE-8284-PA, Soc. Petrol. Eng. J. 20(05), 363–376 (1980) 12. : A set of symmetric quadrature rules on triangles and tetrahedra. J. Comput.
J. Heuristics 20, 483–509 (2014) 22. : A hybrid TS-PSO optimization algorithm. J. Convergence Inf. Technol. 6, 169–174 (2011) 23. : Long-term maintenance scheduling of smart distribution system through a PSO-TS algorithm. J. Appl. Math. 12 (2014) 24. : A comprehensive survey on particle swarm optimization algorithm and its applications. Math. Probl. Eng. 2015, 38 (2015). 1155/2015/931256 25. : Genetic pattern search and its application to brain image classiﬁcation. Math. Probl. Eng. 2013, 8 (2013).
The only diﬀerence between standard Newton method and inexact Newton method is how to choose θl . Usually the parameter, θl , for standard Newton method is ﬁxed and small, such as 10−5 . The parameter, θl , for inexact Newton method is automatically adjusted. Three diﬀerent choices are listed as follows : 22 H. Liu et al. Algorithm 1. The inexact Newton Method 1: Give an initial guess x0 and stopping criterion , let l = 0, and assemble right-hand side b. 2: while b ≥ do 3: Assemble the Jacobian matrix A.
High Performance Computing and Applications: Third International Conference, HPCA 2015, Shanghai, China, July 26-30, 2015, Revised Selected Papers by Jiang Xie, Zhangxin Chen, Craig C. Douglas, Wu Zhang, Yan Chen