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| Author | : Frank Thomson Leighton |
| Publisher | : Morgan Kaufmann Publishers |
| Total Pages | : 870 |
| Release | : 1992 |
| Genre | : Computers |
| ISBN | : |
Mathematics of Computing -- Parallelism.
| Author | : Behrooz Parhami |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 512 |
| Release | : 2006-04-11 |
| Genre | : Business & Economics |
| ISBN | : 0306469642 |
THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.
| Author | : F. Thomson Leighton |
| Publisher | : Elsevier |
| Total Pages | : 856 |
| Release | : 2014-05-12 |
| Genre | : Mathematics |
| ISBN | : 1483221156 |
Introduction to Parallel Algorithms and Architectures: Arrays Trees Hypercubes provides an introduction to the expanding field of parallel algorithms and architectures. This book focuses on parallel computation involving the most popular network architectures, namely, arrays, trees, hypercubes, and some closely related networks. Organized into three chapters, this book begins with an overview of the simplest architectures of arrays and trees. This text then presents the structures and relationships between the dominant network architectures, as well as the most efficient parallel algorithms for a wide variety of problems. Other chapters focus on fundamental results and techniques and on rigorous analysis of algorithmic performance. This book discusses as well a hybrid of network architecture based on arrays and trees called the mesh of trees. The final chapter deals with the most important properties of hypercubes. This book is a valuable resource for readers with a general technical background.
| Author | : Vipin Kumar |
| Publisher | : Addison Wesley Longman |
| Total Pages | : 632 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : |
Mathematics of Computing -- Parallelism.
| Author | : Roman Trobec |
| Publisher | : Springer |
| Total Pages | : 263 |
| Release | : 2018-09-27 |
| Genre | : Computers |
| ISBN | : 3319988336 |
Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.
| Author | : Subodh Kumar |
| Publisher | : Cambridge University Press |
| Total Pages | : |
| Release | : 2022-07-31 |
| Genre | : Computers |
| ISBN | : 1009276301 |
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
| Author | : Russ Miller |
| Publisher | : MIT Press |
| Total Pages | : 336 |
| Release | : 1996 |
| Genre | : Architecture |
| ISBN | : 9780262132336 |
Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh-of-trees.
| Author | : Seyed H Roosta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 579 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461212200 |
Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.
| Author | : Ananth Grama |
| Publisher | : Pearson Education |
| Total Pages | : 664 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 9780201648652 |
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
| Author | : Alan Gibbons |
| Publisher | : Cambridge University Press |
| Total Pages | : 280 |
| Release | : 1989-11-24 |
| Genre | : Computers |
| ISBN | : 9780521388412 |
Mathematics of Computing -- Parallelism.
