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Practical Applications of Parallel Computing. Advances in Computation: Theory and Practice, Volume 12
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Editors: Yang, Laurence Tianruo (Saint Francis Xavier University); Paprzycki, Marcin (Oklahoma State University); Tarricone, Luciano
Book Description:
The continuous progress in scientific research is one of the important factors explaining the constantly increasing demand for computational power. On the other hand, one of the results of such progress is the availability of more powerful computer platforms. To that end, this volume reviews a broad array of subjects based on the solutions to the daily problems in industrial production, research, and development.

Table of Contents:
Intrduction; Section 1: Mathematical Applications; WSMP: A High-Performance Shared- and Distributed-Memory Parallel Sparse Linear Equation Solver (A. Gupta, Watson Research Center; M. Joshi, Watson Research Center; V. Kumar, University of Minnesota); Randomized Heuristic Schemes for the Set Covering Problem (M.S. Fiorenzo Catalano, Delft University of Technology; F. Malucelli, DEI-Politecnico di Milano); Execution Time Complexity Analysis for Least Squares Problems on Parallel Distributed Memory Architectures (L.T. Yang, St. Francis Xavier University; R.P. Brent, Oxford University); A Parallel Krylov-Newton Algorithm for Accurate Solutions of Large, Sparse Riccati Equations (A.I. Zecevic and D. Siljak, Santa Clara University); Section 2: Scientific and Engineering Computing; Parallel Proximal-Point Algorithms for Constrained Problems in Mechanics (G. Alduncin, Mexican Institute of Petroleum and Institute of Geophysics); Parallelizing a DVR Method on SMP (A. Bastida, D. Giménez, A. Requena, and J. Zúñiga, Universidad de Murcia); Experiences on Parallelizing Compilation for Development and Porting of Large Scale Applications on Distributed Memory Systems (B. Di Martino, Second Univeresity of Naples; S. Briguglio and M. Celino, G. Fogaccia, G. Vlad, and V. Rosato, ENEA-HPCN Project; and M. Briscolini, IBM Italia); Using General Purpose Numerical Software in the Parallelization of Fluid Dynamics Codes: KIVA-3, An Engine Simulation Application (P. D’Ambra, National Research Council Italy; S. Filippone, University of Rome; L. Arnone, Piaggio & C. S.p.A.); Solution of Complicated Real-World Problems in Computational Electromagnetics by Applying Parallel Computing Based on Integral Equation and Hybrid Techniques (U. Jakobus, University of Stuttgart); Parallel Computation of Industrial Environmental Flows (R. Kickinger and P. Gittler, Johannes Kepler University); Parallel Parameter Estimation in Groundwater Flow Models (L. Lämmer, Heriot-Watt University, M. Burghardt, University of Technology Darmstadt; Ca. and Ch. König, GKW Ingienieurgesellschaft); Electromagnetic Simulations through the PQE1 Hybrid Parallel Architecture (P. Palazzari and P. D’Atansio, C.R. Casaccia); Efficient Parallel Electromagnetic Field Analysis Exploiting Symmetry (P.E. Strazdins, Australian National University; K. Homma, Fujitsu Laboratories; V. Nguyen, Australain National University, M. Noro, Fujitsu Laboratories; T. Yamagajo, Fujitsu, Ltd.); A Parallel/Distributed Approach to the Analysis of Complex Waveguide Circuits (S. Cambi, A. Esposito, F. Malucelli, M. Mongiardo, L. Tarricone, D.I.E.I., Italy); Towards Well Balanced Parallel Traffic Simulation (A. Tibaut, University of Maribor); Parallel Global Aircraft Configuration Design Space Exploration (C.A. Baker, L.T. Watson, B. Grossman, W.H. Mason, Virginia Polytechnic Institute and State University; R.T. Haftka, University of Florida); Parallel Discrete Event Simulation for Business Process Re-Engineering (B. Zarei, Sharif University of technology); Running a Large Air Pollution Model on an IBM SMP Computer (W. Owczarz, Technical University of Denmark; Z. Zlatev, National Environmental Research Institute, Denmark); Section 3: Information Technology; Asynchronous Reading of Consistent Copy of a Large Database (S. Bhalla, University of Aizu; S.E. Madnick, Massachusetts Institute of Technology); Parallel Concurrency Control for Data Access within Real-Time Database Systems (S. Bhalla, University of Aizu); LSD: Latency Sensitive Distribution of Tasks in a Metacomputing Environment. Case Study: Distributed Industrial Digital Mockup (P. Drum, T. Henne, P. Lucksch, Technische Universität München; C. Todd, Tecoplan AG); On the Performance of a Multicomputer-Based Environment for Parallel Real-Time Applications (L.F. Friedrich, R. Cancian, Universidade Federal de Santa Catarina; R.S. Oliveira, Universidade Federal do Rio Grande do Sul; T.B. Corso, Universidade Federal de Santa Catarina); Polynomial Algorithms for Periodic Scheduling of Tasks on Parallel Processors (V. Kats, Institute for Industrial Mathematics; E. Levner, Holon Institute of Technology); Interaction between Parallel Compilation and Data Transfer and Storage Cost Minimization for Multimedia Applications (C. Kulkarni, K. Danckaert, F. Catthoor, Katholieke Universiteit Leuven; M. Gupta, IBM T.J. Watson Research Center); On the Optimization of Efficient Processing Multiple Queries in Parallel Databases (K.H. Liu, Telcordia Technologies, Inc.; C.H.C. Leung and Y. Jiang, University of Technology, Melbourne); A Preliminary Proposal of a Practical Standard Methodology Based on Benchmark’s Executions for DSMS’s Speedup Comparative Evaluations (M.D. Marino, University of Sao Paulo); Index.

   Series:
      Advances in Computation: Theory and Practice
   Binding: Hardcover
   Pub. Date: 2002
   ISBN: 1-59033-532-5
  
  
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Practical Applications of Parallel Computing. Advances in Computation: Theory and Practice, Volume 12