Download or read book Computing in Object Oriented Parallel Environments written by Satoshi Matsuoka and published by Springer. This book was released on 2006-12-29 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Symposium on Computing in Object-Oriented Parallel Environments, ISCOPE 99, held in San Francisco, CA, USA in December 1999. The 14 revised full papers presented together with six short papers were selected from 41 submissions. The papers are devoted to compilers and optimization techniques, new application fields, components and metacomputing, numerical frameworks, generic programming and skeletons, application-specific frameworks, and runtime systems and techniques.

Download or read book Scientific Computing in Object oriented Parallel Environments written by and published by . This book was released on 1997 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scientific Computing in Object Oriented Parallel Environments written by Yutaka Ishikawa and published by Springer. This book was released on 1997-11-19 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Scientific Computing in Object-Oriented Parallel Environments, ISCOPE '97, held in Marina del Rey, California, in December 1997. The volume presents 36 revised papers carefully selected for inclusion in the book. The papers address run-time performance optimization at several levels, new language programming paradigms, applications of Java-based technology, direct applications in various areas, object-oriented libraries, and new ideas and approaches to parallel scientific computing. All in all, this is an up-to-date presentation of the state-of-the-art in the application of object-oriented methods in scientific and engineering applications.

Download or read book Computing in Object Oriented Parallel Environments written by Denis Caromel and published by Springer. This book was released on 2003-07-31 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the International Symposium on C- puting in Object-Oriented Parallel Environments (ISCOPE ’98), held at Santa 1 Fe, New Mexico, USA on December 8{11, 1998. ISCOPE is in its second year, and continues to grow both in attendance and in the diversity of the subjects covered. ISCOPE’97 and its predecessor conferences focused more narrowly on scienti c computing in the high-performance arena. ISCOPE ’98 retains this emphasis, but has broadened to include discrete-event simulation, mobile c- puting, and web-based metacomputing. The ISCOPE ’98 Program Committee received 39 submissions, and acc- ted 10 (26%) as Regular Papers, based on their excellent content, maturity of development, and likelihood for widespread interest. These 10 are divided into three technical categories. Applications: The rst paper describes an approach to simulating advanced nuclear power reactor designs that incorporates multiple local solution - thods and a natural extension to parallel execution. The second paper disc- ses a Time Warp simulation kernel that is highly con gurable and portable. The third gives an account of the development of software for simulating high-intensity charged particle beams in linear particle accelerators, based on the POOMA framework, that shows performance considerably better than an HPF version, along with good parallel speedup.

Download or read book Scientific Computing in Object Oriented Parallel Environments written by Yutaka Ishikawa and published by Springer. This book was released on 2014-03-12 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Scientific Computing in Object-Oriented Parallel Environments, ISCOPE '97, held in Marina del Rey, California, in December 1997. The volume presents 36 revised papers carefully selected for inclusion in the book. The papers address run-time performance optimization at several levels, new language programming paradigms, applications of Java-based technology, direct applications in various areas, object-oriented libraries, and new ideas and approaches to parallel scientific computing. All in all, this is an up-to-date presentation of the state-of-the-art in the application of object-oriented methods in scientific and engineering applications.

Download or read book Scientific Computing in Object Oriented Parallel Environments written by Yutaka Ishikawa and published by Springer Science & Business Media. This book was released on 1997-11-19 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references and index.

Download or read book Scientific Computing in Object oriented Parallel Environments written by Yutaka Ishikawa and published by . This book was released on 1997 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scientific computing in object oriented parallel environments written by Yutaka Ishikawa and published by . This book was released on 1997 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computing in Object Oriented Parallel Environments written by Denis Caromel and published by Springer. This book was released on 1998-11-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the International Symposium on C- puting in Object-Oriented Parallel Environments (ISCOPE ’98), held at Santa 1 Fe, New Mexico, USA on December 8{11, 1998. ISCOPE is in its second year, and continues to grow both in attendance and in the diversity of the subjects covered. ISCOPE’97 and its predecessor conferences focused more narrowly on scienti c computing in the high-performance arena. ISCOPE ’98 retains this emphasis, but has broadened to include discrete-event simulation, mobile c- puting, and web-based metacomputing. The ISCOPE ’98 Program Committee received 39 submissions, and acc- ted 10 (26%) as Regular Papers, based on their excellent content, maturity of development, and likelihood for widespread interest. These 10 are divided into three technical categories. Applications: The rst paper describes an approach to simulating advanced nuclear power reactor designs that incorporates multiple local solution - thods and a natural extension to parallel execution. The second paper disc- ses a Time Warp simulation kernel that is highly con gurable and portable. The third gives an account of the development of software for simulating high-intensity charged particle beams in linear particle accelerators, based on the POOMA framework, that shows performance considerably better than an HPF version, along with good parallel speedup.

Download or read book Computing in Object Oriented Parallel Environments written by Satoshi Matsuoka and published by Springer. This book was released on 1999-11-22 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Symposium on Computing in Object-Oriented Parallel Environments, ISCOPE 99, held in San Francisco, CA, USA in December 1999. The 14 revised full papers presented together with six short papers were selected from 41 submissions. The papers are devoted to compilers and optimization techniques, new application fields, components and metacomputing, numerical frameworks, generic programming and skeletons, application-specific frameworks, and runtime systems and techniques.

Download or read book Environments and Tools for Parallel Scientific Computing written by J. J. Dongarra and published by North Holland. This book was released on 1993 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluates the state-of-the-art and future trends in software for parallel computer programmers. Topics covered include: visualization tools for performance debugging; studies of the behaviour of parallel program execution; and programming tools.

Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computing in Object oriented Parallel Environments written by and published by . This book was released on 1998 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Numerical Solution of Partial Differential Equations on Parallel Computers written by Are Magnus Bruaset and published by Springer Science & Business Media. This book was released on 2006-03-05 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need for precise and computable process descriptions. The scienti?c ?elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef?cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model’s complexity and the number of data points used for the computations. Therefore, computational scientists tend to ?ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing.

Download or read book Languages and Compilers for High Performance Computing written by Rudolf Eigenmann and published by Springer. This book was released on 2005-08-25 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 17th International Workshop on Languages and Compilers for High Performance Computing was hosted by Purdue University in September 2004 on Purdue campus in West Lafayette, Indiana, USA.

Download or read book Advances in Software Tools for Scientific Computing written by Hans P. Langtangen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: To make full use of the ever increasing hardware capabilities of modern com puters, it is necessary to speedily enhance the performance and reliability of the software as well, and often without having a suitable mathematical theory readily available. In the handling of more and more complex real-life numerical problems in all sorts of applications, a modern object-oriented de sign and implementation of software tools has become a crucial component. The considerable challenges posed by the demand for efficient object-oriented software in all areas of scientific computing make it necessary to exchange ideas and experiences from as many different sources as possible. Motivated by the success of the first meeting of this kind in Norway in 1996, we decided to organize another International Workshop on Modern Software Tools for Scientific Computing, often referred to as SciTools'98. This workshop took place in Oslo, Norway, September 14-16, 1998. The ob jective was again to provide an open forum for exchange and discussion of modern, state-of-the-art software techniques applied to challenging numerical problems. The organization was undertaken jointly by the research institute SINTEF Applied Mathematics, the Departments of Mathematics and Infor matics at the University of Oslo, and the company Numerical Objects AS.