Author : Frank Thomson Leighton
Publisher : Morgan Kaufmann Publishers
Page : 870 pages
File Size : 48,91 MB
Release : 1992
Category : Computers
ISBN :
Mathematics of Computing -- Parallelism.
Author : Behrooz Parhami
Publisher : Springer Science & Business Media
Page : 512 pages
File Size : 39,57 MB
Release : 2006-04-11
Category : 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 : Vipin Kumar
Publisher : Addison Wesley Longman
Page : 632 pages
File Size : 40,15 MB
Release : 1994
Category : Computers
ISBN :
Mathematics of Computing -- Parallelism.
Author : Russ Miller
Publisher : MIT Press
Page : 336 pages
File Size : 39,37 MB
Release : 1996
Category : 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
Page : 579 pages
File Size : 33,59 MB
Release : 2012-12-06
Category : 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 : Subodh Kumar
Publisher : Cambridge University Press
Page : pages
File Size : 27,15 MB
Release : 2022-07-31
Category : 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 : Roman Trobec
Publisher : Springer
Page : 263 pages
File Size : 32,30 MB
Release : 2018-09-27
Category : 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 : Fayez Gebali
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 13,53 MB
Release : 2011-03-29
Category : Computers
ISBN : 0470934638
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.
Author : Alan Gibbons
Publisher : Cambridge University Press
Page : 280 pages
File Size : 50,57 MB
Release : 1989-11-24
Category : Computers
ISBN : 9780521388412
Mathematics of Computing -- Parallelism.
Author : Henri Casanova
Publisher : CRC Press
Page : 360 pages
File Size : 21,40 MB
Release : 2008-07-17
Category : Computers
ISBN : 1584889462
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extract
