By Raimondas Ciegis, David Henty, Bo Kågström, Julius Žilinskas
This paintings introduces new advancements within the building, research, and implementation of parallel computing algorithms. This booklet offers 23 self-contained chapters, together with surveys, written by means of individual researchers within the box of parallel computing. every one bankruptcy is dedicated to a few features of the topic: parallel algorithms for matrix computations, parallel optimization, administration of parallel programming versions and information, with the most important specialize in parallel clinical computing in business applications.
Key beneficial properties comprise: building and research of parallel algorithms for linear algebra and optimization difficulties; assorted facets of parallel architectures, together with dispensed reminiscence desktops with multicore processors; quite a lot of business purposes: parallel simulation of flows via oil filters in addition to in porous and fuel media, jet aerodynamics, warmth conduction in electric cables, nonlinear optics tactics in tapered lasers, and molecular and telephone dynamics.
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Additional resources for Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)
4699, pp. 127–136. Springer (2007) 20. : Parallel solvers for Sylvester-type matrix equations with applications in condition estimation, Part I: theory and algorithms. 15, Dept. of Computing Science, Ume˚a University, Sweden. Submitted to ACM Trans. Math. Software (2007) 21. : Parallel solvers for Sylvester-type matrix equations with applications in condition estimation, Part II: the SCASY software. 16, Dept. of Computing Science, Ume˚a University, Sweden. Submitted to ACM Trans. Math. Software (2007) 22.
Financial support was provided by the Swedish Research Council under grant VR 621-2001-3284 and by the Swedish Foundation for Strategic Research under grant SSF A3 02:128. References 1. : Parallel two-stage reduction of a regular matrix pair to Hessenberg-triangular form. In: T. Sørvik et al. ) Applied Parallel Computing: New Paradigms for HPC Industry and Academia, Lecture Notes in Computer Science, vol. 1947, pp. 92–102. Springer (2001) 2. : Parallel and blocked algorithms for reduction of a regular matrix pair to Hessenberg-triangular and generalized Schur forms.
312–319. Springer, Berlin Heidelberg New York (2006) 8. , Dongarra, J. : PVM: Parallel Virtual Machine. A User’s Guide and Tutorial for Networked Parallel Computing. MIT Press, Cambridge, MA (1994) 9. : Application of template metaprogramming technologies to improve the efficiency of parallel arrays. Mathematical Modelling and Analysis 12(1), 71–79 (2007) 10. : The High Performance Fortran Handbook. The MIT Press, Cambridge, MA (1994) 11. : Introduction to Parallel Computing: Design and Analysis of Algorithms.