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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel numerics are important for solving complex computational problems on parallel and/or distributed systems. This concise survey presents the latest achievements in parallel and distributed computing. The editors emphasize presentation of the theoretical discussion of each method in the context of its application, with particular focus applied to the subject of modeling physical phenomena by partial differential equations (PDEs), including the development of algorithms for different applications (such as financial prediction, and medical simulations). Internationally renowned experts in the field provide contributions focusing on topics relating to the latest trends in parallel computing. These range from parallel algorithmics, programming, tools, and network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integration, number theory, and their application in computer simulations. Features: • Presents a comprehensive introductory chapter, outlining advances and trends in parallelism • Discusses the development of algorithms for different applications, plus other aspects related to the parallel numerical solution of PDEs • Investigates other numerical applications, such as data retrieval by linear algebra approach, and quasi-Monte Carlo methods • Explores molecular dynamics, computational quantum physics, the analysis of biosignals, and image and video coding • Provides helpful overviews and conclusions for all chapters • Concludes with a thorough chapter on the future of parallel computing This invaluable text/reference presents the state of the art in parallel and distributed computing. The book is a must-read for all scientists who wish to design and implement efficient solutions on parallel and distributed computer systems, as well as for mathematicians dealing with numerical applications and computer simulations of natural phenomena. Dr. Roman Trobec is an Assistant Professor at the Department of Communication Systems of the Jozef Stefan institute, Slovenia. Dr. Marian Vajteršic and Dr. Peter Zinterhof are Professors at the Department of Computer Sciences of the University of Salzburg, Austria.
Parallel processing (Electronic computers). --- Parallel processing (Electronic computers) --- Parallel computers --- Telecommunications --- Computer Science --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Information Technology --- Computer Science (Hardware & Networks) --- Parallel computers. --- Computer science. --- Computer communication systems. --- Architecture, Computer. --- Numerical analysis. --- Computer simulation. --- Computer Science. --- Computer System Implementation. --- Computer Communication Networks. --- Numerical Analysis. --- Numeric Computing. --- Simulation and Modeling. --- Electronic digital computers --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Computer network architectures. --- Electronic data processing. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Mathematical analysis --- Automation --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Architecture, Computer --- Distributed processing
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Parallel processing (Electronic computers) --- Congresses --- 681.3*D1 --- Programming techniques--See also {681.3*E} --- Conferences - Meetings --- Computer Science --- Engineering & Applied Sciences --- 681.3*D1 Programming techniques--See also {681.3*E} --- Computer science. --- Architecture, Computer. --- Computer programming. --- Algorithms. --- Computer science --- Image processing. --- Numerical analysis. --- Computer Science. --- Computer System Implementation. --- Algorithm Analysis and Problem Complexity. --- Programming Techniques. --- Mathematics of Computing. --- Image Processing and Computer Vision. --- Numerical Analysis. --- Mathematics. --- Mathematical analysis --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Algebra --- Arithmetic --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Architecture, Computer --- Informatics --- Science --- Mathematics --- Foundations --- Programming --- Computer network architectures. --- Computer software. --- Computer vision. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer science—Mathematics. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Optical equipment --- Parallel processing (Electronic computers) - Congresses
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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel numerics are important for solving complex computational problems on parallel and/or distributed systems. This concise survey presents the latest achievements in parallel and distributed computing. The editors emphasize presentation of the theoretical discussion of each method in the context of its application, with particular focus applied to the subject of modeling physical phenomena by partial differential equations (PDEs), including the development of algorithms for different applications (such as financial prediction, and medical simulations). Internationally renowned experts in the field provide contributions focusing on topics relating to the latest trends in parallel computing. These range from parallel algorithmics, programming, tools, and network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integration, number theory, and their application in computer simulations. Features: ¢ Presents a comprehensive introductory chapter, outlining advances and trends in parallelism ¢ Discusses the development of algorithms for different applications, plus other aspects related to the parallel numerical solution of PDEs ¢ Investigates other numerical applications, such as data retrieval by linear algebra approach, and quasi-Monte Carlo methods ¢ Explores molecular dynamics, computational quantum physics, the analysis of biosignals, and image and video coding ¢ Provides helpful overviews and conclusions for all chapters ¢ Concludes with a thorough chapter on the future of parallel computing This invaluable text/reference presents the state of the art in parallel and distributed computing. The book is a must-read for all scientists who wish to design and implement efficient solutions on parallel and distributed computer systems, as well as for mathematicians dealing with numerical applications and computer simulations of natural phenomena. Dr. Roman Trobec is an Assistant Professor at the Department of Communication Systems of the Jozef Stefan institute, Slovenia. Dr. Marian Vajtersic and Dr. Peter Zinterhof are Professors at the Department of Computer Sciences of the University of Salzburg, Austria.
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