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Shared Memory Application Programming

Shared Memory Application Programming
Author: Victor Alessandrini
Publisher: Morgan Kaufmann
Total Pages: 557
Release: 2015-11-06
Genre: Computers
ISBN: 0128038209

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Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any branch of applied computer science. This book guides readers to develop insights about threaded programming and introduces two popular platforms for multicore development: OpenMP and Intel Threading Building Blocks (TBB). Author Victor Alessandrini leverages his rich experience to explain each platform’s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability. The book is divided into two parts: the first develops the essential concepts of thread management and synchronization, discussing the way they are implemented in native multithreading libraries (Windows threads, Pthreads) as well as in the modern C++11 threads standard. The second provides an in-depth discussion of TBB and OpenMP including the latest features in OpenMP 4.0 extensions to ensure readers’ skills are fully up to date. Focus progressively shifts from traditional thread parallelism to modern task parallelism deployed by modern programming environments. Several chapter include examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and a software library incorporating a number of utilities that readers can adapt into their own projects. Designed to introduce threading and multicore programming to teach modern coding strategies for developers in applied computing Leverages author Victor Alessandrini's rich experience to explain each platform’s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability Includes complete, up-to-date discussions of OpenMP 4.0 and TBB Based on the author’s training sessions, including information on source code and software libraries which can be repurposed


ParaDiGM: A Highly Scalable Shared-Memory Multi-Computer Architecture

ParaDiGM: A Highly Scalable Shared-Memory Multi-Computer Architecture
Author: David R. Cheriton
Publisher:
Total Pages: 21
Release: 1990
Genre:
ISBN:

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ParaDiGM is a highly scalable shared memory multi-computer architecture. It is being developed to demonstrate the feasibility of building a relatively low cost shared memory parallel computer that scales to large configurations, and yet provides sequential programs with performance comparable to a high end microprocessor. A key problem is building a scalable memory hierarchy. In this paper we describe the ParaDIGM architecture, highlighting the innovations of our approach and presenting results of our evaluation of the design. We envision that scalable shared-memory multiprocessors like ParaDiGM will soon become the dominant form of parallel processing, even for very large scale computation, providing a uniform platform for parallel programming systems and applications.


Shared-Memory Synchronization

Shared-Memory Synchronization
Author: Michael Lee Scott
Publisher: Springer Nature
Total Pages: 252
Release: 2024
Genre: Computer architecture
ISBN: 3031386841

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Zusammenfassung: This book offers a comprehensive survey of shared-memory synchronization, with an emphasis on "systems-level" issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages. The primary intended audience for this book is "systems programmers"--the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code


Multicore Shared Memory Application Programming

Multicore Shared Memory Application Programming
Author: Victor Alessandrini
Publisher: Wiley-ISTE
Total Pages: 448
Release: 2014-05-12
Genre: Computers
ISBN: 9781848216532

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This book provides a unified presentation of the basic concepts of shared memory application programming, underlining the universality of these concepts and discussing the way they are declined in major programming environments. The book focuses on the high level parallel and concurrency patterns that commonly occur in real applications, and explores useful programming idioms, pitfalls and best practices that are largely independent of the underlying programming environment.


Scalable Shared Memory Multiprocessors

Scalable Shared Memory Multiprocessors
Author: Michel Dubois
Publisher: Springer Science & Business Media
Total Pages: 360
Release: 1992
Genre: Computers
ISBN: 9780792392194

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Mathematics of Computing -- Parallelism.


UPC

UPC
Author: Tarek El-Ghazawi
Publisher: John Wiley & Sons
Total Pages: 262
Release: 2005-06-24
Genre: Computers
ISBN: 0471478377

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This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies. This book represents an invaluable resource for the growing number of UPC users and applications developers. More information about UPC can be found at: http://upc.gwu.edu/ An Instructor Support FTP site is available from the Wiley editorial department.


Computational Science and Its Applications - ICCSA 2003

Computational Science and Its Applications - ICCSA 2003
Author: Vipin Kumar
Publisher: Springer Science & Business Media
Total Pages: 1093
Release: 2003-05-08
Genre: Computers
ISBN: 3540401555

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The three-volume set, LNCS 2667, LNCS 2668, and LNCS 2669, constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2003, held in Montreal, Canada, in May 2003. The three volumes present more than 300 papers and span the whole range of computational science from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The proceedings give a unique account of recent results in computational science.


OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author: Rudolf Eigenmann
Publisher: Springer Science & Business Media
Total Pages: 194
Release: 2001-07-18
Genre: Computers
ISBN: 354042346X

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This book constitutes the refereed proceedings of the International Workshop on OpenMP Applications and Tools, WOMPAT 2001, held in West Lafayette, IN, USA in July 2001. The 15 full papers presented were carefully reviewed and revised for inclusion in the volume. The book presents a state-of-the-art overview on OpenMP shared memory parallel programming. The papers are organized in topical sections on benchmarking, compiler implementation and optimization, tools and tool technology, OpenMP experience, NUMA machines and clusters, and OpenMP extensions.


The Midway Distributed Shared Memory System

The Midway Distributed Shared Memory System
Author: Carnegie-Mellon University. Computer Science Dept
Publisher:
Total Pages: 10
Release: 1993
Genre: Multiprocessors
ISBN:

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Midway programs are written in C, and the association between synchronization objects and data must be made with explicit annotations. As a result, pure entry consistent programs can require more annotations than programs written to other models. In addition to entry consistency, Midway also supports the stronger release consistent and processor consistent models at the granularity of individual data items. Consequently, the programmer can tradeoff potentially reduced performance for the additional programming complexity required to write an entry consistent parallel program."