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Programming Your Gpu With Openmp - Performance Portability For Gpus

by Timothy G. Mattson e Tom Deakin

~~212,00€~~ 190,80€ 10% OFF

 The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model.Today''s computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP, Tom Deakin and Timothy Mattson help everyone, from beginners to advanced programmers, learn how to use OpenMP to program a GPU using just a few directives and runtime functions. Then programmers can go further to maximize performance by using CPUs and GPUs in parallel—true heterogeneous programming. And since OpenMP is a portable API, the programs will run on almost any system.Programming Your GPU with OpenMP shares best practices for writing performance portable programs. Key features include:• The most up-to-date APIs for programming GPUs with OpenMP with concepts that transfer to other approaches for GPU programming. • Written in a tutorial style that embraces active learning, so that readers can make immediate use of what they learn via provided source code. • Builds the OpenMP GPU Common Core to get programmers to serious production-level GPU programming as fast as possible. Additional features: • A reference guide at the end of the book covering all relevant parts of OpenMP 5.2. • An online repository containing source code for the example programs from the book—provided in all languages currently supported by OpenMP: C, C++, and Fortran. • Tutorial videos and lecture slides.
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High-Performance Big Data Computing

by Dhabaleswar K. Panda, Dipti Shankar e Xiaoyi Lu

145,75€ + 10% CARD

 An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning.Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.
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Using Openmp-The Next Step - Affinity, Accelerators, Tasking, And Simd

by Christian Terboven, Eric Stotzer e Ruud Van Der Pas

159,00€ + 10% CARD

 A guide to the most recent, advanced features of the widely used OpenMP parallel programming model, with coverage of major features in OpenMP 4.5.This book offers an up-to-date, practical tutorial on advanced features in the widely used OpenMP parallel programming model. Building on the previous volume, Using OpenMP: Portable Shared Memory Parallel Programming (MIT Press), this book goes beyond the fundamentals to focus on what has been changed and added to OpenMP since the 2.5 specifications. It emphasizes four major and advanced areas: thread affinity (keeping threads close to their data), accelerators (special hardware to speed up certain operations), tasking (to parallelize algorithms with a less regular execution flow), and SIMD (hardware assisted operations on vectors).As in the earlier volume, the focus is on practical usage, with major new features primarily introduced by example. Examples are restricted to C and C++, but are straightforward enough to be understood by Fortran programmers. After a brief recap of OpenMP 2.5, the book reviews enhancements introduced since 2.5. It then discusses in detail tasking, a major functionality enhancement; Non-Uniform Memory Access (NUMA) architectures, supported by OpenMP; SIMD, or Single Instruction Multiple Data; heterogeneous systems, a new parallel programming model to offload computation to accelerators; and the expected further development of OpenMP.
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Programming Models For Parallel Computing

159,00€ + 10% CARD

 An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today.The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
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Enterprise Integration Modeling - Proceedings Of The First International Conference

159,00€ + 10% CARD

 The goal of enterprise integration is the development of computer-based tools that facilitate coordination of work and information flow across organizational boundaries.
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High Performance Fortran Handbook

by Charles H. Koelbel, David Loveman, Guy L. Steele Jr., Mary Zosel e Robert S. Schreiber

111,30€ + 10% CARD

 High Performance Fortran (HPF) is a set of extensions to Fortran expressing parallel execution at a relatively high level. For the thousands of scientists, engineers, and others who wish to take advantage of the power of both vector and parallel supercomputers, five of the principal authors of HPF have teamed up here to write a tutorial for the language. There is an increasing need for a common parallel Fortran that can serve as a programming interface with the new parallel machines that are appearing on the market. While HPF does not solve all the problems of parallel programming, it does provide a portable, high-level expression for data- parallel algorithms that brings the convenience of sequential Fortran a step closer to today''s complex parallel machines.
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Cellular Automata Machines - A New Environment For Modeling

by Norman Margolus e Tommaso Toffoli

79,50€ + 10% CARD

 Recently, cellular automata machines with the size, speed, and flexibility for general experimentation at a moderate cost have become available to the scientific community. These machines provide a laboratory in which the ideas presented in this book can be tested and applied to the synthesis of a great variety of systems.
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Data-Parallel Programming On Mimd Computers

by Michael J. Quinn e Philip J. Hatcher

111,30€ + 10% CARD

 Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.
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Quantum Computing Without Magic - Devices - Devices

69,96€ + 10% CARD

 Offers an introduction to quantum computing, with an emphasis on basic quantum physics, experiment, and quantum devices. This book explains the requisite quantum physics, and explains the devices themselves. It is suitable for physics and electronic engineering undergraduates studying quantum computing and basic quantum mechanics.
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Using Mpi-2 - Advanced Features Of The Message-Passing Interface

by Ewing Lusk, Rajeev Thakur e William Gropp

153,70€ + 10% CARD

 Covering the extensions to basic MPI, this text includes parallel I/O, remoted memory access operations and dynamic process management. The volume also includes material on tuning MPI applications for high performance on modern MPI applications.
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Scalable Input/Output - Achieving System Balance - Achieving System Balance

69,96€ + 10% CARD

 The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance.
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Pvm - A Users` Guide And Tutorial For Network Parallel Computing - A Users' Guide And Tutorial For Network Parallel Computing

by Adam Beguelin, Al Geist, Jack Dongarra, Robert Manchek, Vaidyalingam S. Sunderam e Weicheng Jiang

74,73€ + 10% CARD

 Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources.
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Programmer'S Guide To Zpl

by Lawrence Snyder

92,75€ + 10% CARD

 This guide illustrates typical ZPL usage and explains in an intuitive manner how the constructs work. The emphasis is on teaching the reader to be a ZPL programmer. Scientific computations are used as examples throughout
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Parallel Programming Using C++

172,25€ + 10% CARD

 Presents a broad survey of efforts to use C++ on high performance parallel computers and clusters of workstations. This text includes 16 different dialects and libraries, which are described by their developers and illustrated with many small example programs.
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Mpi - The Complete Reference - Volume 2, The Mpi Extensions

by Andrew Lumsdaine, Bill Nitzberg, Ewing Lusk, Marc Snir, Steven Huss-Lederman, William Gropp e William Saphir

145,75€ + 10% CARD

 This volume presents a complete specification of the MPI-2 Standard. It is annotated with comments that clarify complicated issues, including why certain design choices were made, how users are intended to use the interface, and how they should construct their version of MPI.
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How To Build A Beowulf - A Guide To The Implementation And Application Of Pc Clusters

by Daniel F. Savarese, Donald J. Becker, John F. Salmon e Thomas Sterling

132,50€ + 10% CARD

 This how-to guide provides step-by-step instructions for building a Beowulf-type computer, including the physical elements that make up a clustered PC computing system, the software required (most of which is freely available), and insights on how to organize the code to exploit parallelism.
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Enabling Technologies For Petaflops Computing

by Paul C. Messina, Paul H. Smith e Thomas Sterling

74,73€ + 10% CARD

 Chapters focus on four interrelated areas: applications and algorithms, device technology, architecture and systems, and software technology.
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Beowulf Cluster Computing With Windows

by Thomas Sterling

106,53€ + 10% CARD

 Comprehensive guides to the latest Beowulf tools and methodologies. Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific, engineering, and commercial applications. With growing popularity has come growing complexity. Addressing that complexity, Beowulf Cluster Computing with Linux and Beowulf Cluster Computing with Windows provide system users and administrators with the tools they need to run the most advanced Beowulf clusters. The book is appearing in both Linux and Windows versions in order to reach the entire PC cluster community, which is divided into two distinct camps according to the node operating system. Each book consists of three stand-alone parts. The first provides an introduction to the underlying hardware technology, assembly, and configuration. The second part offers a detailed presentation of the major parallel programming librairies. The third, and largest, part describes software infrastructures and tools for managing cluster resources. This includes some of the most popular of the software packages available for distributed task scheduling, as well as tools for monitoring and administering system resources and user accounts. Approximately 75% of the material in the two books is shared, with the other 25% pertaining to the specific operating system. Most of the chapters include text specific to the operating system. The Linux volume includes a discussion of parallel file systems.
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Beowulf Cluster Computing With Linux

90,63€ + 10% CARD

 Comprehensive guides to the latest Beowulf tools and methodologies.
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Multicomputer Networks - Message-Based Parallel Processing

by Daniel A. Reed e Richard M. Fujimoto

132,50€ + 10% CARD

 High-performance message-based supercomputers have only recently emerged from the research laboratory. The commercial manufacturing of such products as the Intel iPSC, the Ametek s/14, the NCUBE/ten, and the FPS T Series - all based on multicomputer network technology - has sparked lively interest in high-performance computation, and particularly in the message-passing paradigm for parallel computation. This book makes readily available information on many aspects of the design and use of multicomputer networks, including machine organization, system software, and application programs. It provides an introduction to the field for students and researchers and a survey of important recent results for practicing engineers. The emphasis throughout is on design principles and techniques; however, there are also descriptions and comparison of research and commercial machines and case studies of specific applications.Multicomputer Networks covers such major design areas as communication hardware, operating systems, fault tolerance, algorithms, and the selection of network topologies. The authors present results in each of these areas, emphasizing analytic models of interconnection networks, VLSI constraints and communication, communication paradigms and hardware support, multicomputer operating systems, and applications for distributed simulation and for partial differential equations. They survey the hardware designs and the available software and present a comparative performance study of existing machines.
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Massively Parallel Processor

106,00€ + 10% CARD

 The development of parallel processing, with the attendant technology of advanced software engineering, VLSI circuits, and artificial intelligence, now allows high-performance computer systems to reach the speeds necessary to meet the challenge of future complex scientific and commercial applications. This collection of articles documents the design of one such computer, a single instruction multiple data stream (SIMD) class supercomputer with 16,834 processing units capable of over 6 billion 8 bit operations per second. It provides a complete description of the Massively Parallel Processor (MPP), including discussions of hardware and software with special emphasis on applications, algorithms, and programming. This system with its massively parallel hardware and advanced software is on the cutting edge of parallel processing research, making possible AI, database, and image processing applications that were once thought to be inconceivable. The massively parallel processor represents the first step toward the large-scale parallelism needed in the computers of tomorrow. Orginally built for a variety of image-processing tasks, it is fully programmable and applicable to any problem with sizeable data demands.Contents "History of the MPP," D. Schaefer • "Data Structures for Implementing the Classy Algorithm on the MPP," R. White • "Inversion of Positive Definite Matrices on the MPP," R. White • "LANDSAT-4 Thematic Mapper Data Processing with the MPP," R. O. Faiss • "Fluid Dynamics Modeling," E. J. Gallopoulas • "Database Management," E. Davis • "List Based Processing on the MPP," J. L. Potter • "The Massively Parallel Processor System Overvew," K. E. Batcher • "Array Unit," K. E. Batcher • "Array Control Unit," K. E. Batcher • "Staging Memory," K. E. Batcher • "PE Design," J. Burkley • "Programming the MPP," J. L. Potter • "Parallel Pascal and the MPP," A. P Reeves • "MPP System Software," K. E. Batcher • "MPP Program Development and Simulation," E. J. Gallopoulas
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Parallel Mimd Computation - Hep Supercomputer And Its Applications

145,75€ + 10% CARD

 Fifteen original contributions from experts in high-speed computation on multi-processor architectures, concurrent programming and parallel algorithms. Experts in high-speed computation agree that the rapidly growing demand for more powerful computers can only be met by a radical change in computer architecture, a change from a single serial processor to an aggregation of many processors working in parallel. At present, our knowledge about multi-processor architectures, concurrent programming or parallel algorithms is very limited. This book discusses all three subjects in relation to the HEP supercomputer that can handle multiple instruction streams and multiple data streams (MIMD). The HEP multiprocessor is an innovative general purpose computer, easy to use by anybody familiar with FORTRAN. Following a preface by the editor, the book''s fifteen original contributions are divided into four sections: The HEP Architecture and Systems Software; The HEP Performance; Programming and Languages; and Applications of the HEP Computer. An appendix describes the use of monitors in FORTRAN, providing a tutorial on the barrier, self-scheduling DO loop, and Askfor monitors.J. S. Kowalik, who has contributed a chapter with S. P. Kumar on "Parallel Algorithms for Recurrence and Tridiagonal Linear Equations," is a manager in Boeing Computer Services'' Artificial Intelligence Center in Seattle.MIMD Computation is included in the Scientific Computation Series, edited by Dennis Cannon.
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Using Mpi - Portable Parallel Programming With The Message Passing Interface

by Anthony Skjellum, Ewing Lusk e William Gropp

159,00€ + 10% CARD

 Introduces the core function of the Message Printing Interface (MPI). This edition adds material on the C++ and Fortran 90 binding for MPI. It covers datatype extents and the extension to basic MPI functionality added by the MPI-2 Forum in the area of MPI datatypes and collective operations.
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Using Openmp - Portable Shared Memory Parallel Programming

by Barbara Chapman, Gabriele Jost e Ruud Van Der Pas

132,50€ + 10% CARD

 Presents a comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing. This title discusses hardware developments, describes where OpenMP is applicable, and compares OpenMP to other programming interfaces for shared and distributed memory parallel architectures.
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