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Shared Memory Application Programming

Shared Memory Application Programming
  • Author : Victor Alessandrini
  • Publisher :Unknown
  • Release Date :2015-11-06
  • Total pages :556
  • ISBN : 9780128038208
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Summary : 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

Exam Prep for: Shared Memory Application Programming

Exam Prep for: Shared Memory Application Programming
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 1230987654XX
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Summary :

Using OpenMP

Using OpenMP
  • Author : Barbara Chapman,Gabriele Jost,Ruud van der Pas
  • Publisher :Unknown
  • Release Date :2008
  • Total pages :353
  • ISBN : 9780262533027
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Summary : 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.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
  • Author : Rudolf Eigenmann
  • Publisher :Unknown
  • Release Date :2001-07-18
  • Total pages :184
  • ISBN : 354042346X
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Summary : 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.

GNU/Linux Application Programming

GNU/Linux Application Programming
  • Author : M. Tim Jones
  • Publisher :Unknown
  • Release Date :2008-01-01
  • Total pages :667
  • ISBN : 9781584506102
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Summary : GNU/Linux is the Swiss army knife of operating systems. You’ll find it in the smallest devices (such as an Apple iPod) to the largest most powerful supercomputers (like IBM’s Blue Gene). You’ll also find GNU/Linux running on the most diverse architectures

Multicore Application Programming

Multicore Application Programming
  • Author : Darryl Gove
  • Publisher :Unknown
  • Release Date :2010-11-01
  • Total pages :441
  • ISBN : 9780321711373
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Summary : 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.

Performance-oriented Application Development for Distributed Architectures

Performance-oriented Application Development for Distributed Architectures
  • Author : M. Gerndt
  • Publisher :Unknown
  • Release Date :2002
  • Total pages :100
  • ISBN : 1586032674
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Summary : Annotation This publication is devoted to programming models, languages, and tools for performance-oriented program development in commercial and scientific environments. The included papers have been written based on presentations given at the workshop PADDA 2001. The goal of the workshop was to identify common interests and techniques for performance-oriented program development in commercial and scientific environments. Distributed architectures currently dominate the field of highly parallel computing. Distributed architectures, based on Internet and mobile computing technologies, are important target architectures in the domain of commercial computing too. The papers in this publication come from the two areas: scientific computing and commercial computing.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
  • Author : INTERNATIONAL WORKSHOP ON OPENMP APPLICATIONS AND,Michael J. Voss,International Workshop on OpenMP Applications and Tools
  • Publisher :Unknown
  • Release Date :2003-06-16
  • Total pages :270
  • ISBN : 9783540404354
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Summary : This book contains the proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2003. WOMPAT 2003 was held on June 26and 27, 2003 in Toronto, Canada. The workshop brought together the users and developers of the OpenMP API to meet, share ideas and experiences, and to discuss the latest developments in OpenMP and its applications. The OpenMP API is now a widely accepted standard for high-level shar- memory parallel programming. Since its introduction in 1997, OpenMP has gained support from the majority of high-performance compiler and hardware vendors. WOMPAT 2003 was the latest in a series of OpenMP-related workshops, which have included the annual o?erings of the Workshop on OpenMP Appli- tions and Tools (WOMPAT), the European Workshop on OpenMP (EWOMP) and the Workshop on OpenMP: Experiences and Implementations (WOMPEI). The WOMPAT 2003 program committee formally solicited papers. Extended abstracts were submitted by authors and all abstracts were reviewed by three members of the program committee. Of the 17 submitted abstracts, 15 were selected for presentation at the workshop. This book was published in time to be available at WOMPAT 2003, and therefore we hope that the papers contained herein are timely and useful for current developers and researchers. This book also contains selected papers from WOMPAT 2002. No formal proceedings had been created for this previous o?ering of the workshop, and so presenters were invited to prepare their papers for inclusion in this volume.

UPC

UPC
  • Author : Tarek El-Ghazawi,William Carlson,Thomas Sterling,Katherine Yelick
  • Publisher :Unknown
  • Release Date :2005-06-24
  • Total pages :252
  • ISBN : 9780471478379
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Summary : 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.

Distributed Shared Memory

Distributed Shared Memory
  • Author : Jelica Protic,Milo Tomasevic,Veljko Milutinović
  • Publisher :Unknown
  • Release Date :1997-08-10
  • Total pages :375
  • ISBN : 0818677376
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Summary : 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.

Solaris Application Programming

Solaris Application Programming
  • Author : Darryl Gove
  • Publisher :Unknown
  • Release Date :2007-12-27
  • Total pages :496
  • ISBN : 9780132797320
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Summary : Solaris™ Application Programming is a comprehensive guide to optimizing the performance of applications running in your Solaris environment. From the fundamentals of system performance to using analysis and optimization tools to their fullest, this wide-ranging resource shows developers and software architects how to get the most from Solaris systems and applications. Whether you’re new to performance analysis and optimization or an experienced developer searching for the most efficient ways to solve performance issues, this practical guide gives you the background information, tips, and techniques for developing, optimizing, and debugging applications on Solaris. The text begins with a detailed overview of the components that affect system performance. This is followed by explanations of the many developer tools included with Solaris OS and the Sun Studio compiler, and then it takes you beyond the basics with practical, real-world examples. In addition, you will learn how to use the rich set of developer tools to identify performance problems, accurately interpret output from the tools, and choose the smartest, most efficient approach to correcting specific problems and achieving maximum system performance. Coverage includes A discussion of the chip multithreading (CMT) processors from Sun and how they change the way that developers need to think about performance A detailed introduction to the performance analysis and optimization tools included with the Solaris OS and Sun Studio compiler Practical examples for using the developer tools to their fullest, including informational tools, compilers, floating point optimizations, libraries and linking, performance profilers, and debuggers Guidelines for interpreting tool analysis output Optimization, including hardware performance counter metrics and source code optimizations Techniques for improving application performance using multiple processes, or multiple threads An overview of hardware and software components that affect system performance, including coverage of SPARC and x64 processors

An Introduction to Parallel Programming

An Introduction to Parallel Programming
  • Author : Peter Pacheco
  • Publisher :Unknown
  • Release Date :2011-02-17
  • Total pages :392
  • ISBN : 0080921442
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Summary : An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models

Shared Memory Parallel Programming with Open MP

Shared Memory Parallel Programming with Open MP
  • Author : Barbara Chapman
  • Publisher :Unknown
  • Release Date :2005-02-09
  • Total pages :147
  • ISBN : 354024560X
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Summary : This book constitutes the thoroughly refereed postproceedings of the 5th International Workshop on Open MP Application and Tools, WOMPAT 2004, held in Houston, TX, USA in May 2004. The 12 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers are devoted to using Open MP for large scale applications on several computing platforms, consideration of Open MP parallelization strategies, discussion and evaluation of several proposed language features, and compiler and tools technology.

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
  • Publisher :Unknown
  • Release Date :2008-05-21
  • Total pages :448
  • ISBN : 9783540685548
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Summary : 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.

Parallel Programming

Parallel Programming
  • Author : Bertil Schmidt,Jorge Gonzalez-Dominguez,Christian Hundt,Moritz Schlarb
  • Publisher :Unknown
  • Release Date :2017-11-20
  • Total pages :416
  • ISBN : 9780128044865
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Summary : 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

High-Level Parallel Programming Models and Supportive Environments

High-Level Parallel Programming Models and Supportive Environments
  • Author : Frank Mueller
  • Publisher :Unknown
  • Release Date :2001-04-04
  • Total pages :137
  • ISBN : 9783540419440
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Summary : This book constitutes the refereed proceedings of the 6th International Workshop on High-Level Parallel Programming Models and Supportive Environments, HIPS 2001, held in San Francisco, CA, USA in April 2001. The 10 revised full papers presented were carefully reviewed and selected out of 20 submissions. The focus of the book is on high-level programming of networks of workstations, computing clusters, and massively parallel machines. Among the issues addressed are language design, compilers, system architectures, programming tools, and advanced applications.

Mining Very Large Databases with Parallel Processing

Mining Very Large Databases with Parallel Processing
  • Author : Alex A. Freitas,Simon H. Lavington
  • Publisher :Unknown
  • Release Date :1997-11-30
  • Total pages :208
  • ISBN : 0792380487
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Summary : Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.

Computational Science — ICCS 2004

Computational Science — ICCS 2004
  • Author : Marian Bubak,Geert Dick van Albada,Peter M.A. Sloot,Jack Dongarra
  • Publisher :Unknown
  • Release Date :2004-05-26
  • Total pages :1313
  • ISBN : 9783540221166
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Summary : The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.

Modeling, Simulation and Optimization of Complex Processes

Modeling, Simulation and Optimization of Complex Processes
  • Author : Hans Georg Bock,Ekaterina Kostina,Xuan Phu Hoang,Rolf Rannacher
  • Publisher :Unknown
  • Release Date :2005-12-05
  • Total pages :597
  • ISBN : 9783540271703
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Summary : This proceedings volume contains a selection of papers presented at the symposium "International Conference on High Performance Scientific Computing'' held at the Hanoi Institute of Mathematics of the Vietnam National Center for Natural Science and Technology (NCST), March 10-14, 2003. The conference has been organized by the Hanoi Institute of Mathematics, SFB 359 ''Reactive Flows, Transport and Diffusion'', Heidelberg, Ho Chi Minh City University of Technology and Interdisciplinary Center for Scientific Computing (IWR), Heidelberg. The contributions cover the broad interdisciplinary spectrum of scientific computing and present recent advances in theory, development of methods, and applications in practice. Subjects covered are mathematical modelling, numerical simulation, methods for optimization and optimal control, parallel computing, symbolic computing, software development, applications of scientific computing in physics, chemistry, biology and mechanics, environmental and hydrology problems, transport, logistics and site location, communication networks, production scheduling, industrial and commercial problems.

Shared-Memory Parallelism Can be Simple, Fast, and Scalable

Shared-Memory Parallelism Can be Simple, Fast, and Scalable
  • Author : Julian Shun
  • Publisher :Unknown
  • Release Date :2017-06-01
  • Total pages :443
  • ISBN : 9781970001907
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Summary : 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.

Parallel Programming in OpenMP

Parallel Programming in OpenMP
  • Author : Rohit Chandra
  • Publisher :Unknown
  • Release Date :2001
  • Total pages :230
  • ISBN : 9781558606715
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Summary : Software -- Programming Techniques.