Parallel Computing In Science And Engineering

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Scientific Parallel Computing

L. Ridgway Scott,Terry Clark,Babak Bagheri
Scientific Parallel Computing Book PDF

Author : L. Ridgway Scott,Terry Clark,Babak Bagheri
Publisher : Princeton University Press
Page : 392 pages
File Size : 48,7 Mb
Release : 2021-03-09
Category : Computers
ISBN : 9780691227658

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Scientific Parallel Computing by L. Ridgway Scott,Terry Clark,Babak Bagheri Pdf

What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject. Designed for graduate and advanced undergraduate courses in the sciences and in engineering, computer science, and mathematics, it focuses on the three key areas of algorithms, architecture, languages, and their crucial synthesis in performance. The book's computational examples, whose math prerequisites are not beyond the level of advanced calculus, derive from a breadth of topics in scientific and engineering simulation and data analysis. The programming exercises presented early in the book are designed to bring students up to speed quickly, while the book later develops projects challenging enough to guide students toward research questions in the field. The new paradigm of cluster computing is fully addressed. A supporting web site provides access to all the codes and software mentioned in the book, and offers topical information on popular parallel computing systems. Integrates all the fundamentals of parallel computing essential for today's high-performance requirements Ideal for graduate and advanced undergraduate students in the sciences and in engineering, computer science, and mathematics Extensive programming and theoretical exercises enable students to write parallel codes quickly More challenging projects later in the book introduce research questions New paradigm of cluster computing fully addressed Supporting web site provides access to all the codes and software mentioned in the book

Programming Models for Parallel Computing

Pavan Balaji
Programming Models for Parallel Computing Book PDF

Author : Pavan Balaji
Publisher : MIT Press
Page : 488 pages
File Size : 50,5 Mb
Release : 2015-11-06
Category : Computers
ISBN : 9780262528818

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Programming Models for Parallel Computing by Pavan Balaji Pdf

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng

Practical Parallel Programming

Gregory V. Wilson,Greg Wilson
Practical Parallel Programming Book PDF

Author : Gregory V. Wilson,Greg Wilson
Publisher : Cambridge, Mass. : MIT Press
Page : 564 pages
File Size : 40,7 Mb
Release : 1995-01
Category : Computers
ISBN : 0262231867

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Practical Parallel Programming by Gregory V. Wilson,Greg Wilson Pdf

Parallel computers have become widely available in recent years. Many scientists are now using them to investigate the grand challenges of science, such as modeling global climate change, determining the masses of elementary particles from first principles, or sequencing the human genome. However, software for parallel computers has developed far more slowly than the hardware. Many incompatible programming systems exist, and many useful programming techniques are not widely known. Practical Parallel Programming provides scientists and engineers with a detailed, informative, and often critical introduction to parallel programming techniques. Following a review of the fundamentals of parallel computer theory and architecture, it describes four of the most popular parallel programming models in use today—data parallelism, shared variables, message passing, and Linda—and shows how each can be used to solve various scientific and numerical problems. Examples, coded in various dialects of Fortran, are drawn from such domains as the solution of partial differential equations, solution of linear equations, the simulation of cellular automata, studies of rock fracturing, and image processing. Practical Parallel Programming will be particularly helpful for scientists and engineers who use high-performance computers to solve numerical problems and do physical simulations but who have little experience of networking or concurrency. The book can also be used by advanced undergraduate and graduate students in computer science in conjunction with material covering parallel architectures and algorithms in more detail. Computer science students will gain a critical appraisal of the current state of the art in parallel programming. Scientific and Engineering Computation series

Parallel Science and Engineering Applications

Laxmikant V. Kale,Abhinav Bhatele
Parallel Science and Engineering Applications Book PDF

Author : Laxmikant V. Kale,Abhinav Bhatele
Publisher : CRC Press
Page : 302 pages
File Size : 55,9 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781466504134

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Parallel Science and Engineering Applications by Laxmikant V. Kale,Abhinav Bhatele Pdf

Developed in the context of science and engineering applications, with each abstraction motivated by and further honed by specific application needs, Charm++ is a production-quality system that runs on almost all parallel computers available. Parallel Science and Engineering Applications: The Charm++ Approach surveys a diverse and scalable collecti

Parallel Computing: Accelerating Computational Science and Engineering (CSE)

M. Bader,A. Bode,H.-J. Bungartz
Parallel Computing Accelerating Computational Science and Engineering CSE Book PDF

Author : M. Bader,A. Bode,H.-J. Bungartz
Publisher : IOS Press
Page : 868 pages
File Size : 46,7 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781614993810

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Parallel Computing: Accelerating Computational Science and Engineering (CSE) by M. Bader,A. Bode,H.-J. Bungartz Pdf

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

Jack Dongarra,Kaj Madsen,Jerzy Wasniewski
Applied Parallel Computing Book PDF

Author : Jack Dongarra,Kaj Madsen,Jerzy Wasniewski
Publisher : Springer
Page : 1195 pages
File Size : 40,6 Mb
Release : 2006-02-27
Category : Computers
ISBN : 9783540334989

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Applied Parallel Computing by Jack Dongarra,Kaj Madsen,Jerzy Wasniewski Pdf

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.

Highly Parallel Computing

George S. Almasi,Allan Gottlieb
Highly Parallel Computing Book PDF

Author : George S. Almasi,Allan Gottlieb
Publisher : Addison Wesley Longman
Page : 726 pages
File Size : 40,7 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015009120117

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Highly Parallel Computing by George S. Almasi,Allan Gottlieb Pdf

This second edition includes new exercises for each chapter, a quantitative treatment of speedup, seismic migration, using a workstation network as a parallel computer, recent changes in technology, more languages, fat trees, wormhole switching, new SIMD hardware, an expanded section on CM-2, new MIMD hardware, using workstation clusters as a MIMD system, and directory based caches. Annotation copyright by Book News, Inc., Portland, OR

Parallel Computing in Science and Engineering

Rüdiger Dierstein,Dieter Müller-Wichards,Hans-Martin Wacker
Parallel Computing in Science and Engineering Book PDF

Author : Rüdiger Dierstein,Dieter Müller-Wichards,Hans-Martin Wacker
Publisher : Springer Science & Business Media
Page : 196 pages
File Size : 45,6 Mb
Release : 1988-05-11
Category : Computers
ISBN : 3540189238

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Parallel Computing in Science and Engineering by Rüdiger Dierstein,Dieter Müller-Wichards,Hans-Martin Wacker Pdf

It was the aim of the conference to present issues in parallel computing to a community of potential engineering/scientific users. An overview of the state-of-the-art in several important research areas is given by leading scientists in their field. The classification question is taken up at various points, ranging from parametric characterizations, communication structure, and memory distribution to control and execution schemes. Central issues in multiprocessing hardware and operation, such as scalability, techniques of overcoming memory latency and synchronization overhead, as well as fault tolerance of communication networks are discussed. The problem of designing and debugging parallel programs in a user-friendly environment is addressed and a number of program transformations for enhancing vectorization and parallelization in a variety of program situations are described. Two different algorithmic techniques for the solution of certain classes of partial differential equations are discussed. The properties of domain-decomposition algorithms and their mapping onto a CRAY-XMP-type architecture are investigated and an overview is given of the merit of various approaches to exploiting the acceleration potential of multigrid methods. Finally, an abstract performance modeling technique for the behavior of applications on parallel and vector architectures is described.

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 : 421 pages
File Size : 40,7 Mb
Release : 2006-01-01
Category : Computers
ISBN : 0898718139

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

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.

Parallel Algorithms in Computational Science and Engineering

Ananth Grama,Ahmed H. Sameh
Parallel Algorithms in Computational Science and Engineering Book PDF

Author : Ananth Grama,Ahmed H. Sameh
Publisher : Springer Nature
Page : 421 pages
File Size : 50,5 Mb
Release : 2020-07-06
Category : Computers
ISBN : 9783030437367

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Parallel Algorithms in Computational Science and Engineering by Ananth Grama,Ahmed H. Sameh Pdf

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including: Computational materials science and engineering Computational cardiovascular analysis Multiscale analysis of wind turbines and turbomachinery Weather forecasting Machine learning techniques Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.

Neural Network Parallel Computing

Yoshiyasu Takefuji
Neural Network Parallel Computing Book PDF

Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
Page : 237 pages
File Size : 44,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461536420

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Neural Network Parallel Computing by Yoshiyasu Takefuji Pdf

Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

Parallel Computing: Accelerating Computational Science and Engineering (CSE)

M. Bader,A Bode,H -J Bungartz
Parallel Computing Accelerating Computational Science and Engineering CSE Book PDF

Author : M. Bader,A Bode,H -J Bungartz
Publisher : Unknown
Page : 868 pages
File Size : 47,5 Mb
Release : 2014-01-01
Category : Parallel processing
ISBN : 1306902983

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Parallel Computing: Accelerating Computational Science and Engineering (CSE) by M. Bader,A Bode,H -J Bungartz Pdf

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."

Introduction to Parallel Computing

Wesley Petersen,Peter Arbenz
Introduction to Parallel Computing Book PDF

Author : Wesley Petersen,Peter Arbenz
Publisher : OUP Oxford
Page : 278 pages
File Size : 44,7 Mb
Release : 2004-01-08
Category : Computers
ISBN : 9780191513619

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Introduction to Parallel Computing by Wesley Petersen,Peter Arbenz Pdf

In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.

High Performance Computing and the Art of Parallel Programming

Stan Openshaw,Ian Turton
High Performance Computing and the Art of Parallel Programming Book PDF

Author : Stan Openshaw,Ian Turton
Publisher : Routledge
Page : 260 pages
File Size : 47,6 Mb
Release : 2005-09-19
Category : Science
ISBN : 9781134729715

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High Performance Computing and the Art of Parallel Programming by Stan Openshaw,Ian Turton Pdf

This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.

Introduction to High Performance Computing for Scientists and Engineers

Georg Hager,Gerhard Wellein
Introduction to High Performance Computing for Scientists and Engineers Book PDF

Author : Georg Hager,Gerhard Wellein
Publisher : CRC Press
Page : 350 pages
File Size : 52,6 Mb
Release : 2010-07-02
Category : Computers
ISBN : 9781439811931

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Introduction to High Performance Computing for Scientists and Engineers by Georg Hager,Gerhard Wellein Pdf

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author