TS2533V
Announcing a New Title from Nova Science Publishers, Inc.
Parallel and Distributed Scientific and Engineering Computing: Practice and Experience
Advances in Computation: Theory and Practice, Volume 15
Yi Pan (Georgia State University) and Laurence Tianruo Yang (St. Francis Xavier University, Canada) Editors
2004. ISBN: 1-59033-956-8. $129.
In the not too distant future, every researcher and professional in science and engineering fields will have to understand parallel and distributed computing. With hyperthreading in Intel processors, hypertransport links in AMD processors, multi-core silicon in today's high-end microprocessors from IBM and emerging cluster and grid computing, parallel and distributed computers have moved into the mainstream of computing. To fully exploit these advances in computer architectures, researchers and professionals must start to design parallel or distributed software, systems and algorithms for their scientific and engineering applications. Parallel and distributed scientific and engineering computing has become a key technology which will play an important part in determining, or at least shaping, future research and development activities in many academic and industrial branches.
This book reports on the recent important advances in the area of parallel and distributed computing for science and engineering applications. Included in the book are selected papers from prestigious workshops such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA together with some invited papers from prominent researchers around the world. The book is basically divided into five main sections. These chapters not only provide novel ideas, new experimental results and handful experience in this field, but also stimulate the future research activities in the area of parallel and distributed computing for science and engineering applications.
Contents:
Introduction (Yi Pan and Laurence Tianruo Yang); Section 1: Numerical Algorithms. Row-Column Versus Vector-Radix: A Case Study of Two Parallel 2d Fourier Transform Algorithms (H. Martin Bücker); A Numerical Study of Some Parallel Algebraic Preconditioners (Xing Cai and Masha Sosonkina); A Model Reduction Web Environment for Very Large Linear Dynamical Systems (Peter Benner, Rafael Mayo, Enrique S. Quintana-Ortí and Gregorio Quintana-Ortí); Implementation of Multiple-Precision Parallel Division and Square Root on Distributed-Memory Parallel Computers (Daisuke Takahashi); Modeling the Runtime of Scientific Programs on Parallel Computers (Thomas Rauber and Gudula Rünger); Section 2: Parallel Applications. Parallelization and Analysis of the Linkmap Program (N. Lopez-Benitez, A. Rai, K. Kothari and S. E. Poduslo); Methods for Parallel Simulations of Surface Reactions (S. V. Nedea, J. J. Lukkien, P. A. J. Hilbers and A. P. J. Jansen); Multi-Teraflops Studies of the Magnetic Structure of Femn Alloys on Parallel Computers (A. Canning, B. Ujfalussy, T. C. Schulthes,, X. G. Zhang et al.); Evaluation of the Speedup of a Distributed Groundwater Simulator Dispersion System on a Dual-Processor Beowulf Network (Mario Donato Marino); New Mesh Generating Adapted to Parallel Systems: PVM Implementation Issue (Andrei Doncescu); Implementing and Evaluating an Efficient Dynamic Load-Balancer for Distributed Molecular Dynamics Simulation (Naohito Sato and Jean-Marc Jézéquel); Section 3: Cluster and Grid Applications. Improving Quality of Service for Application Clusters (Sophia Corsava and Vladimir Getov); Increasing the Throughput of Available Resources Using Management Tools Based on Grid Technologies (Patricia González, María J. Martín, José C. Mouriño and Ramón Doallo); A Grid-Based RPC System for Medical Imaging (M. Bertero , P. Bonetto, L. Carracciuolo, L. D’Amore et al.); Grid Environment with Web-Based Portal Access for Air Quality Modeling (Barbara Chapman, Hari Donepudi, Yupeng Li, Priya Raghunath et al.); Coordination in Utility Managed Multi-Agent Groups (Fernanda Barbosa, José C. Cunha, Omer F. Rana, and Steven J. Lynden); Section 4: Distributed Applications. Distributed Sequential Computing (Lei Pan, Lubomir F. Bic, Michael, B. Dillencourt and Ming Kin Lai); Gled – an Implementation of a Hierarchic Server–Client Model (Matevž Tadel); Toward Automatic Policy Management in Distributed Security Infrastructure (Valentina Casola, Nicola Mazzocca , Antonino Mazzeo and Valeria Vittorini); Integration of Semantic and Clustering Techniques for Web Information Retrieval (Beniamino Di Martino, Antonino Mazzeo and Nicola Mazzocca); Distributed Systems for Telecommunication Applications: from CORBA to Web Services Technology (Anna Bonifacio and Giacinto Spinillo); Section 5: Numerical Applications. Parallelization of the Three-Dimensional Transport Equation for Boron Neutron Capture Therapy (Eric E. Aubanel and Faysal El Khettabi); An Object-Oriented Programming Framework for Parallel Finite Element Analysis with Application: Liquid Composite Molding (Brian J. Henz and Dale R. Shires); Parallel Computing Aided Design of Earthing Systems for Electrical Substations in Non Homogeneous Soil Models (Ignasi Colominas, Javier Gómez, Fermín Navarrina, Manuel Casteleiro and José M. Cela); An Implicitly Parallel Object-Oriented Matrix Library and Its Application to Medical Physics (Jonas Lätt and Bastien Chopard); The Feelfem System: a Repository System for the Finite Element Method (Hidehiro Fujio); Numerical Calculations of Electromagnetic Problems on Infiniband–Clusters (Carsten Trinitis and Andreas Blaszczyk); The Parallel Waveform ICGS Method for Transient Simulation of Semiconductor Devices on Distributed Memory Architectures (Laurence Tianruo Yang); Distributed Parallel Solver for Multiphase Flow in Porous Media (Zhangxin Chen, Wenjun Li and Guanren Huan); Index.
Parallel and Distributed Scientific and Engineering Computing: Practice and Experience
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