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Author: Thomas M. Warschko
Publisher:
ISBN:
Category :
Languages : de
Pages : 19
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Book Description
Author: Thomas M. Warschko
Publisher:
ISBN:
Category :
Languages : de
Pages : 19
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Book Description
Author: Miltos D. Grammatikakis
Publisher: CRC Press
ISBN: 1482274655
Category : Computers
Languages : en
Pages : 416
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Book Description
This introduction to networking large scale parallel computer systems acts as a primary resource for a wide readership, including network systems engineers, electronics engineers, systems designers, computer scientists involved in systems design and implementation of parallel algorithms development, graduate students in systems architecture, design, or engineering.
Author: Stanford University. Computer Systems Laboratory
Publisher:
ISBN:
Category : Multiprocessors
Languages : en
Pages : 14
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Book Description
This paper explores the use of dynamically scheduled processors to exploit the overlap allowed by relaxed models for hiding the latency of reads. Our results are based on detailed simulation studies of several parallel applications. The results show that a substantial fraction of the read latency can be hidden using this technique. However, the major improvements in performance are achieved only at large instruction window sizes."
Author: Wolfgang Schröder-Preikschat
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 406
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Book Description
This timely volume describes the logical design of state-of-the-art parallel operating systems that have to meet the needs of both massively parallel computer architectures and massively parallel applications.
Author: Marian Bubak
Publisher: Springer Science & Business Media
ISBN: 9783540636977
Category : Computers
Languages : en
Pages : 540
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Book Description
This book constitutes the refereed proceedings of the 4th European Parallel Virtual Machine and Message Passing Interface Users' Group Meeting, PVM/MPI '97, held in Cracow, Poland in November 1997. Parallel Virtual Machine and Message Passing Interface are the most popular tools for programming in accordance with the message passing paradigm which, at present, is considered to be the best way to develop effective parallel programs. The book presents 63 carefully selected papers covering the whole range of PVM/MPI issues. The papers are organized in sections on evaluation and performance, extensions and improvements, implementation, tools, algorithms, and applications in science and engineering.
Author: Rajiv Chopra
Publisher: S. Chand Publishing
ISBN: 8121930774
Category : Computers
Languages : en
Pages : 516
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Book Description
This book covers the syllabus of GGSIPU, DU, UPTU, PTU, MDU, Pune University and many other universities. It is useful for B.Tech(CSE/IT), M.Tech(CSE), MCA(SE) students. Many solved problems have been added to make this book more fresh. It has been divided in three parts :Parallel Algorithms, Parallel Programming and Super Computers.
Author: Ernst W Mayr
Publisher: World Scientific
ISBN: 981454647X
Category :
Languages : en
Pages : 342
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Book Description
The PASA Workshops aim to build a bridge between theory and practice in the area of parallel systems and algorithms. Practical problems which require theoretical investigations as well as the applicability of theoretical approaches and results to practice are discussed. A particularly important aspect is the communication and exchange of experiences between various groups working in various areas of parallel computing, e.g. computer science, electrical engineering, physics and mathematics.This volume discusses many aspects of parallel computing from a theoretical as well as a practice-oriented point of view. It shows that there are a number of promising approaches for the application of formal methods to the solution of practical problems in the area of parallel systems and algorithms.
Author: Behrooz Parhami
Publisher: Springer Science & Business Media
ISBN: 0306469642
Category : Business & Economics
Languages : en
Pages : 512
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Book Description
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:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Application codes reliably achieve performance far less than the advertised capabilities of existing architectures, and this problem is worsening with increasingly-parallel machines. For large-scale numerical applications, stencil operations often impose the greater part of the computational cost, and the primary sources of inefficiency are the costs of message passing and poor cache utilization. This paper proposes and demonstrates optimizations for stencil and stencil-like computations for both serial and parallel environments that ameliorate these sources of inefficiency. Additionally, the authors argue that when stencil-like computations are encoded at a high level using object-oriented parallel array class libraries these optimizations, which are beyond the capability of compilers, may be automated.
Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519
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Book Description
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
