Data Parallel C

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Data Parallel C++

Author : James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian
Publisher : Apress
Page : 548 pages
File Size : 48,8 Mb
Release : 2020-11-19
Category : Computers
ISBN : 1484255739

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Data Parallel C++ by James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian Pdf

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.

Parallel Computing for Data Science

Author : Norman Matloff
Publisher : CRC Press
Page : 340 pages
File Size : 45,9 Mb
Release : 2015-06-04
Category : Computers
ISBN : 9781466587038

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Parallel Computing for Data Science by Norman Matloff Pdf

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series,

Parallel Programming Using C++

Author : Gregory V. Wilson,Paul Lu
Publisher : MIT Press
Page : 796 pages
File Size : 51,5 Mb
Release : 1996-07-08
Category : Computers
ISBN : 0262731185

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Parallel Programming Using C++ by Gregory V. Wilson,Paul Lu Pdf

Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of the various compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software.

Pro TBB

Author : Michael Voss,Rafael Asenjo,James Reinders
Publisher : Apress
Page : 854 pages
File Size : 53,5 Mb
Release : 2019-07-09
Category : Computers
ISBN : 9781484243985

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Pro TBB by Michael Voss,Rafael Asenjo,James Reinders Pdf

This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro TBB starts with the basics, explaining parallel algorithms and C++'s built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how to handle typical issues with synchronization. Later chapters apply these ideas to complex systems to explain performance tradeoffs, mapping common parallel patterns, controlling threads and overhead, and extending TBB to program heterogeneous systems or system-on-chips. What You'll Learn Use Threading Building Blocks to produce code that is portable, simple, scalable, and more understandableReview best practices for parallelizing computationally intensive tasks in your applications Integrate TBB with other threading packages Create scalable, high performance data-parallel programs Work with generic programming to write efficient algorithms Who This Book Is For C++ programmers learning to run applications on multicore systems, as well as C or C++ programmers without much experience with templates. No previous experience with parallel programming or multicore processors is required.

Professional Parallel Programming with C#

Author : Gastón C. Hillar
Publisher : John Wiley & Sons
Page : 634 pages
File Size : 48,7 Mb
Release : 2010-12-08
Category : Computers
ISBN : 9781118029770

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Professional Parallel Programming with C# by Gastón C. Hillar Pdf

Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.

C++ AMP

Author : Ade Miller,Kate Gregory
Publisher : Pearson Education
Page : 467 pages
File Size : 48,6 Mb
Release : 2012-09-15
Category : Computers
ISBN : 9780735668195

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C++ AMP by Ade Miller,Kate Gregory Pdf

Capitalize on the faster GPU processors in today’s computers with the C++ AMP code library—and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this technology in your applications. Discover how to: Gain greater code performance using graphics processing units (GPUs) Choose accelerators that enable you to write code for GPUs Apply thread tiles, tile barriers, and tile static memory Debug C++ AMP code with Microsoft Visual Studio Use profiling tools to track the performance of your code

Parallel Programming in C with MPI and OpenMP

Author : Michael Jay Quinn
Publisher : McGraw-Hill Education
Page : 529 pages
File Size : 41,8 Mb
Release : 2004
Category : C (Computer program language)
ISBN : 0071232656

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Parallel Programming in C with MPI and OpenMP by Michael Jay Quinn Pdf

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book,Parallel Programming in C with MPI and OpenMPaddresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today’s parallel platforms. If you are an instructor who has adopted the book and would like access to the additional resources, please contact your local sales rep. or Michelle Flomenhoft at: [email protected].

Programming Massively Parallel Processors

Author : David B. Kirk,Wen-mei W. Hwu
Publisher : Newnes
Page : 519 pages
File Size : 53,5 Mb
Release : 2012-12-31
Category : Computers
ISBN : 9780123914187

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Programming Massively Parallel Processors by David B. Kirk,Wen-mei W. Hwu Pdf

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

Parallel and Distributed Programming Using C++

Author : Cameron Hughes,Tracey Hughes
Publisher : Addison-Wesley Professional
Page : 736 pages
File Size : 44,8 Mb
Release : 2004
Category : Computers
ISBN : 0131013769

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Parallel and Distributed Programming Using C++ by Cameron Hughes,Tracey Hughes Pdf

This text takes complicated and almost unapproachable parallel programming techniques and presents them in a simple, understandable manner. It covers the fundamentals of programming for distributed environments like Internets and Intranets as well as the topic of Web Based Agents.

Parallel Scientific Computing in C++ and MPI

Author : George Em Karniadakis,Robert M. Kirby II
Publisher : Cambridge University Press
Page : 640 pages
File Size : 40,7 Mb
Release : 2003-06-16
Category : Computers
ISBN : 9781107494770

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Parallel Scientific Computing in C++ and MPI by George Em Karniadakis,Robert M. Kirby II Pdf

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

Data Parallel C++

Author : James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian
Publisher : Apress
Page : 0 pages
File Size : 48,7 Mb
Release : 2023-09-30
Category : Computers
ISBN : 1484296907

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Data Parallel C++ by James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian Pdf

"This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm University Learn how to accelerate C++ programs using data parallelism and SYCL. This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices–including GPUs, CPUs, FPGAs, and ASICs–that are suitable to the problems at hand. This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programming Use SYCL and C++ compilers that support SYCL Write portable code for accelerators that is vendor and device agnostic Optimize code to improve performance for specific accelerators Be poised to benefit as new accelerators appear from many vendors Who This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++ This is an open access book.

Languages and Compilers for Parallel Computing

Author : Keith Cooper,John Mellor-Crummey,Vivek Sarkar
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 47,6 Mb
Release : 2011-03-07
Category : Computers
ISBN : 9783642195945

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Languages and Compilers for Parallel Computing by Keith Cooper,John Mellor-Crummey,Vivek Sarkar Pdf

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms in- cluding concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems.

The Art of Parallel Programming

Author : Bruce P. Lester
Publisher : Unknown
Page : 410 pages
File Size : 52,6 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015041022636

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The Art of Parallel Programming by Bruce P. Lester Pdf

Mathematics of Computing -- Parallelism.

Introduction to Parallel Programming

Author : Subodh Kumar
Publisher : Cambridge University Press
Page : 128 pages
File Size : 55,5 Mb
Release : 2022-07-31
Category : Computers
ISBN : 9781009276306

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Introduction to Parallel Programming by Subodh Kumar Pdf

In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.

Data-parallel Programming on MIMD Computers

Author : Philip J. Hatcher,Michael Jay Quinn
Publisher : MIT Press
Page : 262 pages
File Size : 45,5 Mb
Release : 1991
Category : Computers
ISBN : 0262082055

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Data-parallel Programming on MIMD Computers by Philip J. Hatcher,Michael Jay Quinn Pdf

Mathematics of Computing -- Parallelism.