Parallel Computation Models
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Parallel Computation
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Author : Selim G. Akl
language : en
Publisher: Upper Saddle River, N.J. : Prentice Hall
Release Date : 1997
Parallel Computation written by Selim G. Akl and has been published by Upper Saddle River, N.J. : Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Mathematics of Computing -- Parallelism.
Handbook Of Parallel Computing
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Author : Sanguthevar Rajasekaran
language : en
Publisher: CRC Press
Release Date : 2007-12-20
Handbook Of Parallel Computing written by Sanguthevar Rajasekaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-20 with Computers categories.
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Models For Parallel And Distributed Computation
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Author : R. Correa
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Models For Parallel And Distributed Computation written by R. Correa 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 2013-06-29 with Computers categories.
Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.
Parallel Computational Models And Algorithms
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Author : Yunquan Zhang
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-01-15
Parallel Computational Models And Algorithms written by Yunquan Zhang and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-15 with Computers categories.
Parallel Computational Models and Algorithms introduce parallel computational models based on which the parallel algorithms can be designed and analyzed, including performance models for tuning parallel programs. This book focuses on both the theoretical and practical aspects on the parallel computing, namely the main features of parallelism and the pragmatic techniques. Based on kernels (e.g., matrix multiplication), readers can understand and use the model by the example kernels. This valuable reference provides a deeper introduction to modern parallel computational models. The author presents the models in a new classification, which give readers a whole new view to parallel computational models. Focuses on both the theoretical and practical aspects on the parallel computing, namely the main features of parallelism and the pragmatic techniques Provides a whole view to modern parallel computational models Presents the algorithms of each problem, and techniques of algorithm design
Programming Models For Parallel Systems
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Author : Shirley A. Williams
language : en
Publisher:
Release Date : 1990-06-28
Programming Models For Parallel Systems written by Shirley A. Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-06-28 with Computers categories.
Presents parallel processing systems and the programming models that are necessary to accomplish this task. Covers the categories of parallel programming models, including sequential, array, pipeline and shared memory processing, message passing, and functional, logic, and object-oriented programming; examines transformation techniques; and explores the future potential of parallel processing.
Correct Models Of Parallel Computing
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Author : S. Noguchi
language : en
Publisher: IOS Press
Release Date : 1997
Correct Models Of Parallel Computing written by S. Noguchi and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
The 21st century will be the age of network computing. Among the many key technologies in this field, parallel computing and networking technology will play very important roles. In this book emphasis is placed on networking and modeling parallel computing. The topics cover parallel computing algorithms, parallel software, massively parallel computing systems and related applications. Articles cover parallel computing, networking and related applications, to initiate discussions. Since the appearance of Transputer chip T9000, C104, and standardizations of IEEE1355, Transputer systems seem to have opened a new interesting area of parallel computing, networking and many practical applications.
Programming Models For Parallel Computing
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Author : Pavan Balaji
language : en
Publisher: MIT Press
Release Date : 2015-11-06
Programming Models For Parallel Computing written by Pavan Balaji and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Computers categories.
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
Abstract Machine Models For Parallel And Distributed Computing
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Author : M. Kara
language : en
Publisher: IOS Press
Release Date : 1996
Abstract Machine Models For Parallel And Distributed Computing written by M. Kara and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Abstract Machine Models have played a profound though frequently unacknowledged role in the development of modern computing systems. They provide a precise definition of vital concepts, allow system complexity to be managed by providing appropriate views of the activity under consideration, enable reasoning about the correctness and quantitative performance of proposed problem solutions, and encourage communication through a common medium of expression. Abstract Models in Parallel and Distributed computing have a particularly important role in the development of contemporary systems, encapsulating and controlling an inherently high degree of complexity. The Parallel and Distributed computing communities have traditionally considered themselves to be separate. However, there is a significant contemporary interest in both of these communities in a common hardware model; a set of workstation-class machines connected by a high-performance network. The traditional Parallel/Distributed distinction therefore appears under threat.
Models For Parallel And Distributed Computation
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Author : Ricardo Corrêa
language : en
Publisher: Taylor & Francis US
Release Date : 2002-06-30
Models For Parallel And Distributed Computation written by Ricardo Corrêa and has been published by Taylor & Francis US this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-30 with Computers categories.
This book focuses on advanced techniques used in the design of efficient parallel programs. It presents a wide variety of different models of parallel and distributed computation and applications of these models to the design of efficient algorithms to solve numerical and non-numerical problems. It contains general and specific texts about advanced algorithms for parallel computation and gathers together the state-of-the-art on parallelism with contributions from researchers actively working with parallel computation. Its chapters cover a broad variety of models, ranging from abstract shared-memory models such as PRAM to more realistic models of distributed memory, including CGM, LogP and BSP. To the best of our knowledge, no other book in the literature covers state-of-the-art about parallel models as approached in this special edition. Audience: Practitioners, researchers and graduate students in Computer Science, Mathematics, Engineering and Sciences.
The Simd Model Of Parallel Computation
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Author : Robert Cypher
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Simd Model Of Parallel Computation written by Robert Cypher 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 2012-12-06 with Computers categories.
1.1 Background There are many paradigmatic statements in the literature claiming that this is the decade of parallel computation. A great deal of research is being de voted to developing architectures and algorithms for parallel machines with thousands, or even millions, of processors. Such massively parallel computers have been made feasible by advances in VLSI (very large scale integration) technology. In fact, a number of computers having over one thousand pro cessors are commercially available. Furthermore, it is reasonable to expect that as VLSI technology continues to improve, massively parallel computers will become increasingly affordable and common. However, despite the significant progress made in the field, many funda mental issues still remain unresolved. One of the most significant of these is the issue of a general purpose parallel architecture. There is currently a huge variety of parallel architectures that are either being built or proposed. The problem is whether a single parallel computer can perform efficiently on all computing applications.