Parallel Numerical Computation With Applications

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Parallel Numerical Computation with Applications

Laurence Tianruo Yang
Parallel Numerical Computation with Applications Book PDF

Author : Laurence Tianruo Yang
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461552055

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Parallel Numerical Computation with Applications by Laurence Tianruo Yang Pdf

Parallel Numerical Computations with Applications contains selected edited papers presented at the 1998 Frontiers of Parallel Numerical Computations and Applications Workshop, along with invited papers from leading researchers around the world. These papers cover a broad spectrum of topics on parallel numerical computation with applications; such as advanced parallel numerical and computational optimization methods, novel parallel computing techniques, numerical fluid mechanics, and other applications related to material sciences, signal and image processing, semiconductor technology, and electronic circuits and systems design. This state-of-the-art volume will be an up-to-date resource for researchers in the areas of parallel and distributed computing.

Parallel Computing

Roman Trobec,Marián Vajteršic,Peter Zinterhof
Parallel Computing Book PDF

Author : Roman Trobec,Marián Vajteršic,Peter Zinterhof
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 54,7 Mb
Release : 2009-06-18
Category : Computers
ISBN : 9781848824096

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Parallel Computing by Roman Trobec,Marián Vajteršic,Peter Zinterhof Pdf

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Parallel Computing

Roman Trobec,Marián Vajter#ic,Peter Zinterhof
Parallel Computing Book PDF

Author : Roman Trobec,Marián Vajter#ic,Peter Zinterhof
Publisher : Springer
Page : 520 pages
File Size : 52,5 Mb
Release : 2009-08-29
Category : Computers
ISBN : 1848824173

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Parallel Computing by Roman Trobec,Marián Vajter#ic,Peter Zinterhof Pdf

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Parallel Processing for Scientific Computing

Michael A. Heroux,Padma Raghavan,Horst D. Simon
Parallel Processing for Scientific Computing Book PDF

Author : Michael A. Heroux,Padma Raghavan,Horst D. Simon
Publisher : SIAM
Page : 407 pages
File Size : 50,9 Mb
Release : 2006-01-01
Category : Computers
ISBN : 9780898716191

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Parallel Processing for Scientific Computing by Michael A. Heroux,Padma Raghavan,Horst D. Simon Pdf

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.

Parallel Computation

A. E. Fincham,Brian J. Ford
Parallel Computation Book PDF

Author : A. E. Fincham,Brian J. Ford
Publisher : Unknown
Page : 392 pages
File Size : 54,7 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015032765243

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Parallel Computation by A. E. Fincham,Brian J. Ford Pdf

This book came from a conference which surveyed the most recent research on numerical methods and the development of algorithms for use with parallel computers. It is now widely accepted that parallel computing is the future - the only way to ahcieve the processing speeds that are required tomeet the needs of computer users in the future.the software problems involved require the development of new solution algorithms which are capable of supporting many parallels. The emphasis of the conference was on the applications of parallel processing, on the implementation of specific applications on parallel computers or with thedevelopment of efficient mathematical algorithms to be used in applications.The contributors include Mike Brady et al (Oxford) and Jeremy du Croz (NAG, UK).

An Introduction to Parallel and Vector Scientific Computation

Ronald W. Shonkwiler,Lew Lefton
An Introduction to Parallel and Vector Scientific Computation Book PDF

Author : Ronald W. Shonkwiler,Lew Lefton
Publisher : Cambridge University Press
Page : 21 pages
File Size : 48,9 Mb
Release : 2006-08-14
Category : Computers
ISBN : 9781139458993

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An Introduction to Parallel and Vector Scientific Computation by Ronald W. Shonkwiler,Lew Lefton Pdf

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.

Parallel Scientific Computing and Optimization

Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Parallel Scientific Computing and Optimization Book PDF

Author : Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 48,7 Mb
Release : 2008-10-08
Category : Mathematics
ISBN : 9780387097077

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Parallel Scientific Computing and Optimization by Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas Pdf

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 Algorithms for Matrix Computations

K. Gallivan,M. Heath,E. Ng,B. Peyton,R. Plemmons,J. Ortega,C. Romine,A. Sameh,R. Voigt
Parallel Algorithms for Matrix Computations Book PDF

Author : K. Gallivan,M. Heath,E. Ng,B. Peyton,R. Plemmons,J. Ortega,C. Romine,A. Sameh,R. Voigt
Publisher : SIAM
Page : 207 pages
File Size : 51,8 Mb
Release : 1990-01-01
Category : Mathematics
ISBN : 1611971705

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Parallel Algorithms for Matrix Computations by K. Gallivan,M. Heath,E. Ng,B. Peyton,R. Plemmons,J. Ortega,C. Romine,A. Sameh,R. Voigt Pdf

Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms. Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra--direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.

Parallel and Distributed Computation: Numerical Methods

Dimitri Bertsekas,John Tsitsiklis
Parallel and Distributed Computation Numerical Methods Book PDF

Author : Dimitri Bertsekas,John Tsitsiklis
Publisher : Athena Scientific
Page : 832 pages
File Size : 52,8 Mb
Release : 2015-03-01
Category : Mathematics
ISBN : 9781886529151

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Parallel and Distributed Computation: Numerical Methods by Dimitri Bertsekas,John Tsitsiklis Pdf

This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.

Parallel Processing and Applied Mathematics

Roman Wyrzykowski,Jack Dongarra,Ewa Deelman,Konrad Karczewski
Parallel Processing and Applied Mathematics Book PDF

Author : Roman Wyrzykowski,Jack Dongarra,Ewa Deelman,Konrad Karczewski
Publisher : Springer
Page : 660 pages
File Size : 44,7 Mb
Release : 2018-03-22
Category : Computers
ISBN : 9783319780245

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Parallel Processing and Applied Mathematics by Roman Wyrzykowski,Jack Dongarra,Ewa Deelman,Konrad Karczewski Pdf

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.

Parallel Processing and Applied Mathematics

Roman Wyrzykowski
Parallel Processing and Applied Mathematics Book PDF

Author : Roman Wyrzykowski
Publisher : Springer Science & Business Media
Page : 1193 pages
File Size : 44,5 Mb
Release : 2004-04-26
Category : Computers
ISBN : 9783540219460

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Parallel Processing and Applied Mathematics by Roman Wyrzykowski Pdf

This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Parallel Processing and Applied Mathematics, PPAM 2003, held in Czestochowa, Poland, in September 2003. The 149 papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on parallel and distributed architectures, scheduling and load balancing, performance analysis and prediction, parallel and distributed non-numerical algorithms, parallel and distributed programming, tools and environments, applications, evolutionary computing, soft computing data and knowledge management, numerical methods and their applications, multi-dimensional systems, grid computing, heterogeneous platforms, high performance numerical computation, large-scale scientific computation, and bioinformatics applications.

Numerical Algorithms for Modern Parallel Computer Architectures

Martin Schultz
Numerical Algorithms for Modern Parallel Computer Architectures Book PDF

Author : Martin Schultz
Publisher : Springer Science & Business Media
Page : 236 pages
File Size : 40,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781468463576

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Numerical Algorithms for Modern Parallel Computer Architectures by Martin Schultz Pdf

Parallel computers have started to completely revolutionize scientific computation. Articles in this volume represent applied mathematics, computer science, and application aspects of parallel scientific computing. Major advances are discussed dealing with multiprocessor architectures, parallel algorithm development and analysis, parallel systems and programming languages. The optimization of the application of massively parallel architectures to real world problems will provide the impetus for the development of entirely new approaches to these technical situations.

Parallel Scientific Computing and Optimization

Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Parallel Scientific Computing and Optimization Book PDF

Author : Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Publisher : Springer
Page : 274 pages
File Size : 49,9 Mb
Release : 2008-11-21
Category : Mathematics
ISBN : 0387097066

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Parallel Scientific Computing and Optimization by Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas Pdf

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.

High-Performance Scientific Computing

Michael W. Berry,Kyle A. Gallivan,Efstratios Gallopoulos,Ananth Grama,Bernard Philippe,Yousef Saad,Faisal Saied
High Performance Scientific Computing Book PDF

Author : Michael W. Berry,Kyle A. Gallivan,Efstratios Gallopoulos,Ananth Grama,Bernard Philippe,Yousef Saad,Faisal Saied
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 49,5 Mb
Release : 2012-01-18
Category : Computers
ISBN : 9781447124375

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High-Performance Scientific Computing by Michael W. Berry,Kyle A. Gallivan,Efstratios Gallopoulos,Ananth Grama,Bernard Philippe,Yousef Saad,Faisal Saied Pdf

This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.

Parallel Scientific Computing and Optimization

Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Parallel Scientific Computing and Optimization Book PDF

Author : Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Publisher : Springer
Page : 0 pages
File Size : 54,9 Mb
Release : 2010-11-25
Category : Mathematics
ISBN : 1441918841

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Parallel Scientific Computing and Optimization by Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas Pdf

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.