Applied Parallel Computing Large Scale Scientific And Industrial Problems

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Applied Parallel Computing Large Scale Scientific And Industrial Problems

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Author : Bo Kagström
language : en
Publisher: Springer
Release Date : 2006-11-15

Applied Parallel Computing Large Scale Scientific And Industrial Problems written by Bo Kagström and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-15 with Computers categories.

This book constitutes the carefully refereed proceedings of the 4th International Workshop on Applied Parallel Computing, PARA'98, held in Umea, Sweden, in June 1998. The 75 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers address a variety of topics in large scale scientific and industrial-strength computing, in particular high-performance computing and networking; tools, languages, and environments for parallel processing; scientific visualization and virtual reality; and future directions in high-performance computing and communication.

Applied Parallel Computing

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Author : Bo Kågström
language : en
Publisher:
Release Date : 1998

Applied Parallel Computing written by Bo Kågström and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.

Parallel Processing For Scientific Computing

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Author : Michael A. Heroux
language : en
Publisher: SIAM
Release Date : 2006-01-01

Parallel Processing For Scientific Computing written by Michael A. Heroux and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Computers categories.

Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.

Applied Parallel Computing New Paradigms For Hpc In Industry And Academia

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Author : Tor Sorevik
language : en
Publisher: Springer
Release Date : 2003-06-29

Applied Parallel Computing New Paradigms For Hpc In Industry And Academia written by Tor Sorevik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.

The papers in this volume were presented at PARA 2000, the Fifth International Workshop on Applied Parallel Computing. PARA 2000 was held in Bergen, Norway, June 18-21, 2000. The workshop was organized by Parallab and the Department of Informatics at the University of Bergen. The general theme for PARA 2000 was New paradigms for HPC in industry and academia focusing on: { High-performance computing applications in academia and industry, { The use of Java in high-performance computing, { Grid and Meta computing, { Directions in high-performance computing and networking, { Education in Computational Science. The workshop included 9 invited presentations and 39 contributed pres- tations. The PARA 2000 meeting began with a one-day tutorial on OpenMP programming led by Timothy Mattson. This was followed by a three-day wor- hop. The rst three PARA workshops were held at the Technical University of Denmark (DTU), Lyngby (1994, 1995, and 1996). Following PARA’96, an - ternational steering committee for the PARA meetings was appointed and the committee decided that a workshop should take place every second year in one of the Nordic countries. The 1998 workshop was held at Ume a University, Sweden. One important aim of these workshops is to strengthen the ties between HPC centers, academia, and industry in the Nordic countries as well as worldwide. The University of Bergen organized the 2000 workshop and the next workshop in the year 2002 will take place at the Helsinki University of Technology, Espoo, Finland.

Applied Parallel Computing

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Author : Jack Dongarra
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-03

Applied Parallel Computing written by Jack Dongarra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-03 with Computers categories.

This book constitutes the refereed proceedings of the 7th International Conference on Applied Parallel Computing, PARA 2004, held in June 2004. The 118 revised full papers presented together with five invited lectures and 15 contributed talks were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections.

Industrial Strength Parallel Computing

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Author : Alice E. Koniges
language : en
Publisher: Elsevier
Release Date : 1999-10-25

Industrial Strength Parallel Computing written by Alice E. Koniges and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-25 with Computers categories.

Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging. Next comes a series of seventeen detailed case studies—all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline. * Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications.* Explains elements critical to all parallel programming environments, including:** Terminology and architectures** Programming models and methods** Performance analysis and debugging tools* Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing.* Covers a wide range of application areas—biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, fluid dynamics, and more.* Summarizes the state of the art while looking to the future of parallel computing.Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion web site.

Parallel Computing Accelerating Computational Science And Engineering Cse

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Author : M. Bader
language : en
Publisher: IOS Press
Release Date : 2014-03-31

Parallel Computing Accelerating Computational Science And Engineering Cse written by M. Bader and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Computers categories.

Parallel computing has been the enabling technology of high-end machines for many years. Now, it has finally become the ubiquitous key to the efficient use of any kind of multi-processor computer architecture, from smart phones, tablets, embedded systems and cloud computing up to exascale computers. _x000D_ This book presents the proceedings of ParCo2013 – the latest edition of the biennial International Conference on Parallel Computing – held from 10 to 13 September 2013, in Garching, Germany. The conference focused on several key parallel computing areas. Themes included parallel programming models for multi- and manycore CPUs, GPUs, FPGAs and heterogeneous platforms, the performance engineering processes that must be adapted to efficiently use these new and innovative platforms, novel numerical algorithms and approaches to large-scale simulations of problems in science and engineering._x000D_ The conference programme also included twelve mini-symposia (including an industry session and a special PhD Symposium), which comprehensively represented and intensified the discussion of current hot topics in high performance and parallel computing. These special sessions covered large-scale supercomputing, novel challenges arising from parallel architectures (multi-/manycore, heterogeneous platforms, FPGAs), multi-level algorithms as well as multi-scale, multi-physics and multi-dimensional problems._x000D_ It is clear that parallel computing – including the processing of large data sets (“Big Data”) – will remain a persistent driver of research in all fields of innovative computing, which makes this book relevant to all those with an interest in this field.

Applied Parallel Computing Advanced Scientific Computing

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Author : Juha Fagerholm
language : en
Publisher: Springer
Release Date : 2003-08-03

Applied Parallel Computing Advanced Scientific Computing written by Juha Fagerholm and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-03 with Computers categories.

This book constitutes the refereed proceedings of the 6th International Conference on Applied Parallel Computing, PARA 2002, held in Espoo, Finland, in June 2002. The 50 revised full papers presented together with nine keynote lectures were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on data mining and knowledge discovery, parallel program development, practical experience in parallel computing, computer science, numerical algorithms with hierarchical memory optimization, numerical methods and algorithms, cluster computing, grid and network technologies, and physics and applications.

Parallel Scientific Computing And Optimization

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Author : Raimondas Ciegis
language : en
Publisher: Springer
Release Date : 2008-11-21

Parallel Scientific Computing And Optimization written by Raimondas Ciegis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-21 with Mathematics categories.

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

Parallel Scientific Computing And Optimization

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Author : Raimondas Ciegis
language : en
Publisher: Springer
Release Date : 2010-11-25

Parallel Scientific Computing And Optimization written by Raimondas Ciegis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Mathematics categories.

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.