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Parallel Science and Engineering Applications

Parallel Science and Engineering Applications PDF Author: Laxmikant V. Kale
Publisher: CRC Press
ISBN: 1466504137
Category : Mathematics
Languages : en
Pages : 302

Book Description
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 Science and Engineering Applications

Parallel Science and Engineering Applications PDF Author: Laxmikant V. Kale
Publisher: CRC Press
ISBN: 1466504137
Category : Mathematics
Languages : en
Pages : 302

Book Description
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 Processing in Engineering Applications

Parallel Processing in Engineering Applications PDF Author: Robert A. Adey
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 288

Book Description


Parallel Computing

Parallel Computing PDF Author: Christian Bischof
Publisher: IOS Press
ISBN: 158603796X
Category : Computers
Languages : en
Pages : 824

Book Description
ParCo2007 marks a quarter of a century of the international conferences on parallel computing that started in Berlin in 1983. The aim of the conference is to give an overview of the developments, applications and future trends in high-performance computing for various platforms.

Programming Models for Parallel Computing

Programming Models for Parallel Computing PDF Author: Pavan Balaji
Publisher: MIT Press
ISBN: 0262528819
Category : Computers
Languages : en
Pages : 488

Book Description
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

Parallel Computational Fluid Dynamics 2006

Parallel Computational Fluid Dynamics 2006 PDF Author: Jang-Hyuk Kwon
Publisher: Elsevier
ISBN: 0080550045
Category : Computers
Languages : en
Pages : 320

Book Description
The proceedings from Parallel CFD 2006 covers all aspects of parallel computings and its applications. Although CFD is one of basic tools for design procedures to produce machineries, such as automobiles, ships, aircrafts, etc., large scale parallel computing has been realized very recently, especially for the manufactures. Various applications in many areas could be experienced including acoustics, weather prediction and ocean modeling, flow control, turbine flow, fluid-structure interaction, optimization, heat transfer, hydrodynamics. - Report on current research in the field in an area which is rapidly changing - Subject is important to all interested in solving large fluid dynamics problems - Interdisciplinary activity. Contributions include scientists with a variety of backgrounds

Parallel Processing for Scientific Computing

Parallel Processing for Scientific Computing PDF Author: Michael A. Heroux
Publisher: SIAM
ISBN: 9780898718133
Category : Computers
Languages : en
Pages : 421

Book Description
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.

Engineering Applications of Parallel Processing

Engineering Applications of Parallel Processing PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 80

Book Description


Parallel Processing in Engineering Applications

Parallel Processing in Engineering Applications PDF Author: Robert A. Adey
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 288

Book Description
The recent rapid changes in computer technology has delivered to engineers a new technology to enhance the performance and capabilities of engineering computational software. Parallel processing promises to privide a quantum leap in the capabilities of engineering systems and make new appplications possible. However, many current computational mechanics techniques may have to be radically revised in order to take advantage of this new technology. Parallel computing also provides an opportunity to develop new more powerful techniques. The exciting aspect of parallel processing is that it is a technology which is available to all engineers and not restricted to a few. The transputer has provided the PC and the workstation with very high performance parallel systems. Minicomputers, mainframes and supercomputers offer multiprocessor systems. Completely new massivley parallel systems are also now available to engineers.

Massively Parallel Processing Applications and Development

Massively Parallel Processing Applications and Development PDF Author: L. Dekker
Publisher: Elsevier
ISBN: 1483290433
Category : Computers
Languages : en
Pages : 996

Book Description
The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication. From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software. Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.

Applied Parallel Computing

Applied Parallel Computing PDF Author: Yuefan Deng
Publisher: World Scientific
ISBN: 9814307602
Category : Computers
Languages : en
Pages : 218

Book Description
The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.