Shared Memory Application Programming

Shared Memory Application Programming
Author: Victor Alessandrini
Publsiher: Morgan Kaufmann
Total Pages: 556
Release: 2015-11-06
ISBN 10: 0128038209
ISBN 13: 9780128038208
Language: EN, FR, DE, ES & NL

Shared Memory Application Programming Book Review:

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

Shared Memory Application Programming

Shared Memory Application Programming
Author: Victor Alessandrini
Publsiher: Morgan Kaufmann Publishers
Total Pages: 556
Release: 2015-11-01
ISBN 10: 9780128037614
ISBN 13: 012803761X
Language: EN, FR, DE, ES & NL

Shared Memory Application Programming Book Review:

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

Using OpenMP

Using OpenMP
Author: Barbara Chapman,Gabriele Jost,Ruud Van Der Pas
Publsiher: MIT Press
Total Pages: 384
Release: 2007-10-12
ISBN 10: 0262533022
ISBN 13: 9780262533027
Language: EN, FR, DE, ES & NL

Using OpenMP Book Review:

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing—a reference for students and professionals. "I hope that readers will learn to use the full expressibility and power of OpenMP. This book should provide an excellent introduction to beginners, and the performance section should help those with some experience who want to push OpenMP to its limits." —from the foreword by David J. Kuck, Intel Fellow, Software and Solutions Group, and Director, Parallel and Distributed Solutions, Intel Corporation OpenMP, a portable programming interface for shared memory parallel computers, was adopted as an informal standard in 1997 by computer scientists who wanted a unified model on which to base programs for shared memory systems. OpenMP is now used by many software developers; it offers significant advantages over both hand-threading and MPI. Using OpenMP offers a comprehensive introduction to parallel programming concepts and a detailed overview of OpenMP. Using OpenMP discusses hardware developments, describes where OpenMP is applicable, and compares OpenMP to other programming interfaces for shared and distributed memory parallel architectures. It introduces the individual features of OpenMP, provides many source code examples that demonstrate the use and functionality of the language constructs, and offers tips on writing an efficient OpenMP program. It describes how to use OpenMP in full-scale applications to achieve high performance on large-scale architectures, discussing several case studies in detail, and offers in-depth troubleshooting advice. It explains how OpenMP is translated into explicitly multithreaded code, providing a valuable behind-the-scenes account of OpenMP program performance. Finally, Using OpenMP considers trends likely to influence OpenMP development, offering a glimpse of the possibilities of a future OpenMP 3.0 from the vantage point of the current OpenMP 2.5. With multicore computer use increasing, the need for a comprehensive introduction and overview of the standard interface is clear. Using OpenMP provides an essential reference not only for students at both undergraduate and graduate levels but also for professionals who intend to parallelize existing codes or develop new parallel programs for shared memory computer architectures.

UPC

UPC
Author: Tarek El-Ghazawi,William Carlson,Thomas Sterling,Katherine Yelick
Publsiher: John Wiley & Sons
Total Pages: 252
Release: 2005-06-24
ISBN 10: 0471478377
ISBN 13: 9780471478379
Language: EN, FR, DE, ES & NL

UPC Book Review:

This is the first book to explain the language Unified Parallel Cand its use. Authors El-Ghazawi, Carlson, and Sterling are amongthe developers of UPC, with close links with the industrial membersof the UPC consortium. Their text covers background material onparallel architectures and algorithms, and includes UPC programmingcase studies. This book represents an invaluable resource for thegrowing number of UPC users and applications developers. Moreinformation about UPC can be found at: http://upc.gwu.edu/ An Instructor Support FTP site is available from the Wileyeditorial department.

Multicore Shared Memory Application Programming

Multicore Shared Memory Application Programming
Author: Victor Alessandrini
Publsiher: Wiley-ISTE
Total Pages: 448
Release: 2014-05-12
ISBN 10: 9781848216532
ISBN 13: 184821653X
Language: EN, FR, DE, ES & NL

Multicore Shared Memory Application Programming Book Review:

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.

Multicore Application Programming

Multicore Application Programming
Author: Darryl Gove
Publsiher: Addison-Wesley Professional
Total Pages: 441
Release: 2010-11-01
ISBN 10: 0321711378
ISBN 13: 9780321711373
Language: EN, FR, DE, ES & NL

Multicore Application Programming Book Review:

Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use. Author Darryl Gove covers the leanding approaches to parallelization on Windows, Linux, and Oracle Solaris. Through practical examples, he illuminates the challenges involved in writing applications that fully utilize multicore processors, helping you produce appllications that are functionally correct, offer superior performance, and scale well to eight cores, sixteen Cores, and beyond. The book reveals how specific hardware implementations impact application performance and shows how to avoid common pitfalls. Step by step, you'll write applications that can handle large numbers of parallel threads, and you'll master advanced parallelization techniques. Multicore Application Programming isn't wedded to a single approach or platform: It is for every experienced C programmer working with any contemporary multicore processor in any leading operating system environment.

Introduction to Parallel Computing

Introduction to Parallel Computing
Author: Zbigniew J. Czech
Publsiher: Cambridge University Press
Total Pages: 354
Release: 2017-01-11
ISBN 10: 1107174392
ISBN 13: 9781107174399
Language: EN, FR, DE, ES & NL

Introduction to Parallel Computing Book Review:

A comprehensive guide for students and practitioners to parallel computing models, processes, metrics, and implementation in MPI and OpenMP.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author: Rudolf Eigenmann,Michael J. Voss
Publsiher: Springer
Total Pages: 195
Release: 2003-05-15
ISBN 10: 3540445870
ISBN 13: 9783540445876
Language: EN, FR, DE, ES & NL

OpenMP Shared Memory Parallel Programming Book Review:

This book contains the presentations given at the Workshop on OpenMP App- cations and Tools, WOMPAT 2001. The workshop was held on July 30 and 31, 2001 at Purdue University, West Lafayette, Indiana, USA. It brought together designers, users, and researchers of the OpenMP application programming int- face. OpenMP has emerged as the standard for shared memory parallel progr- ming. For the rst time, it is possible to write parallel programs that are portable across the majority of shared memory parallel computers. WOMPAT 2001 s- ved as a forum for all those interested in OpenMP and allowed them to meet, share ideas and experiences, and discuss the latest developments of OpenMP and its applications. WOMPAT 2001 was co-sponsored by the OpenMP Architecture Review Board (ARB). It followed a series of workshops on OpenMP, including WOMPAT 2000, EWOMP 2000, and WOMPEI 2000. For WOMPAT 2001, we solicited papers formally and published them in the form of this book. The authors submitted extended abstracts, which were reviewed by the program committee. All submitted papers were accepted. The authors were asked to prepare a nal paper in which they addressed the reviewers comments. The proceedings, in the form of this book, were created in time to be available at the workshop. In this way, we hope to have brought out a timely report of ongoing OpenMP-related research and development e orts as well as ideas for future improvements.

Shared Memory Parallelism Can be Simple Fast and Scalable

Shared Memory Parallelism Can be Simple  Fast  and Scalable
Author: Julian Shun
Publsiher: Morgan & Claypool
Total Pages: 443
Release: 2017-06-01
ISBN 10: 1970001909
ISBN 13: 9781970001907
Language: EN, FR, DE, ES & NL

Shared Memory Parallelism Can be Simple Fast and Scalable Book Review:

Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.

An Introduction to Parallel Programming

An Introduction to Parallel Programming
Author: Peter Pacheco,Matthew Malensek
Publsiher: Morgan Kaufmann
Total Pages: 496
Release: 2021-08-27
ISBN 10: 012804618X
ISBN 13: 9780128046180
Language: EN, FR, DE, ES & NL

An Introduction to Parallel Programming Book Review:

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author: Michael J. Voss
Publsiher: Springer
Total Pages: 270
Release: 2007-03-05
ISBN 10: 3540450092
ISBN 13: 9783540450092
Language: EN, FR, DE, ES & NL

OpenMP Shared Memory Parallel Programming Book Review:

The refereed proceedings of the International Workshop on OpenMP Applications and Tools, WOMPAT 2003, held in Toronto, Canada in June 2003. The 20 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in sections on tools and tool technology, OpenMP implementations, OpenMP experience, and OpenMP on clusters.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author: Matthias S. Müller,Barbara Chapman,Bronis R. de Supinski,Allen D. Malony,Michael Voss
Publsiher: Springer
Total Pages: 448
Release: 2008-05-23
ISBN 10: 3540685553
ISBN 13: 9783540685555
Language: EN, FR, DE, ES & NL

OpenMP Shared Memory Parallel Programming Book Review:

This book constitutes the thoroughly refereed post-workshop proceedings of the First and the Second International Workshop on OpenMP, IWOMP 2005 and IWOMP 2006, held in Eugene, OR, USA, and in Reims, France, in June 2005 and 2006 respectively. The first part of the book presents 16 revised full papers carefully reviewed and selected from the IWOMP 2005 program and organized in topical sections on performance tools, compiler technology, run-time environment, applications, as well as the OpenMP language and its evaluation. In the second part there are 19 papers of IWOMP 2006, fully revised and grouped thematically in sections on advanced performance tuning aspects of code development applications, and proposed extensions to OpenMP.

Parallel Programming

Parallel Programming
Author: Bertil Schmidt,Jorge Gonzalez-Dominguez,Christian Hundt,Moritz Schlarb
Publsiher: Morgan Kaufmann
Total Pages: 416
Release: 2017-11-20
ISBN 10: 0128044861
ISBN 13: 9780128044865
Language: EN, FR, DE, ES & NL

Parallel Programming Book Review:

Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings. Covers parallel programming approaches for single computer nodes and HPC clusters: OpenMP, multithreading, SIMD vectorization, MPI, UPC++ Contains numerous practical parallel programming exercises Includes access to an automated code evaluation tool that enables students the opportunity to program in a web browser and receive immediate feedback on the result validity of their program Features an example-based teaching of concept to enhance learning outcomes

Application Programming on a Shared Memory Multicomputer

Application Programming on a Shared Memory Multicomputer
Author: Todd Poynor,Tom Wylegala,Hewlett-Packard Laboratories
Publsiher: Unknown
Total Pages: 135
Release: 2000
ISBN 10: 1928374650XXX
ISBN 13: OCLC:59527625
Language: EN, FR, DE, ES & NL

Application Programming on a Shared Memory Multicomputer Book Review:

SCI Scalable Coherent Interface

SCI  Scalable Coherent Interface
Author: Hermann Hellwagner,Alexander Reinefeld
Publsiher: Springer
Total Pages: 494
Release: 2006-12-29
ISBN 10: 3540470484
ISBN 13: 9783540470489
Language: EN, FR, DE, ES & NL

SCI Scalable Coherent Interface Book Review:

Scalable Coherent Interface (SCI) is an innovative interconnect standard (ANSI/IEEE Std 1596-1992) addressing the high-performance computing and networking domain. This book describes in depth one specific application of SCI: its use as a high-speed interconnection network (often called a system area network, SAN) for compute clusters built from commodity workstation nodes. The editors and authors, coming from both academia and industry, have been instrumental in the SCI standardization process, the development and deployment of SCI adapter cards, switches, fully integrated clusters, and software systems, and are closely involved in various research projects on this important interconnect. This thoroughly cross-reviewed state-of-the-art survey covers the complete hardware/software spectrum of SCI clusters, from the major concepts of SCI, through SCI hardware, networking, and low-level software issues, various programming models and environments, up to tools and application experiences.

Programming Persistent Memory

Programming Persistent Memory
Author: Steve Scargall
Publsiher: Apress
Total Pages: 438
Release: 2020-01-09
ISBN 10: 1484249321
ISBN 13: 9781484249321
Language: EN, FR, DE, ES & NL

Programming Persistent Memory Book Review:

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author: Matthias S. Müller,Barbara Chapman,Bronis R. de Supinski,Allen D. Malony,Michael Voss
Publsiher: Springer Science & Business Media
Total Pages: 448
Release: 2008-05-21
ISBN 10: 3540685545
ISBN 13: 9783540685548
Language: EN, FR, DE, ES & NL

OpenMP Shared Memory Parallel Programming Book Review:

OpenMP is an application programming interface (API) that is widely accepted as a standard for high-level shared-memory parallel programming. It is a portable, scalable programming model that provides a simple and ?exible interface for - veloping shared-memory parallel applications in Fortran, C, and C++. Since its introduction in 1997, OpenMP has gained support from the majority of high-performance compiler and hardware vendors. Under the direction of the OpenMP Architecture Review Board (ARB), the OpenMP standard is being further improved. Active research in OpenMP compilers, runtime systems, tools, and environments continues to drive its evolution. To provide a forum for the d- semination and exchange of information about and experiences with OpenMP, the community of OpenMP researchers and developers in academia and industry is organized under cOMPunity (www. compunity. org). Workshops on OpenMP have taken place at a variety of venues around the world since 1999: the European Workshop on OpenMP (EWOMP), the North American Workshop on OpenMP Applications and Tools (WOMPAT), and the AsianWorkshoponOpenMP Experiences andImplementation (WOMPEI)were each held annually and attracted an audience from both academia and industry. The intended purpose of the new International Workshop on OpenMP (IWOMP) was to consolidate these three OpenMP workshops into a single, yearly inter- tional conference. The ?rst IWOMP meeting was held during June 1–4, 2005, in Eugene, Oregon, USA. The second meeting took place during June 12–15, in Reims, France.

Distributed Shared Memory

Distributed Shared Memory
Author: Jelica Protic,Milo Tomasevic,Veljko Milutinović
Publsiher: John Wiley & Sons
Total Pages: 380
Release: 1997-08-10
ISBN 10: 9780818677373
ISBN 13: 0818677376
Language: EN, FR, DE, ES & NL

Distributed Shared Memory Book Review:

The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.

Environmental Engineering and Computer Application

Environmental Engineering and Computer Application
Author: Kennis Chan
Publsiher: CRC Press
Total Pages: 490
Release: 2015-07-27
ISBN 10: 1315685388
ISBN 13: 9781315685380
Language: EN, FR, DE, ES & NL

Environmental Engineering and Computer Application Book Review:

The awareness of environment protection is a great achievement of humans; an expression of self-awareness. Even though the idea of living while protecting the environment is not new, it has never been so widely and deeply practiced by any nations in history like it is today. From the late 90s in the last century, the surprisingly fast dev

2000 4th International Conference on Algorithms and Architectures for Parallel Processing

2000 4th International Conference on Algorithms and Architectures for Parallel Processing
Author: Andrzej Go?ci?ski
Publsiher: World Scientific
Total Pages: 730
Release: 2000
ISBN 10: 9810244819
ISBN 13: 9789810244811
Language: EN, FR, DE, ES & NL

2000 4th International Conference on Algorithms and Architectures for Parallel Processing Book Review:

ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.