General Purpose Computing On Graphics Processing Units

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General Purpose Computing On Graphics Processing Units

Fouad Sabry
General Purpose Computing On Graphics Processing Units Book PDF

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 430 pages
File Size : 47,6 Mb
Release : 2022-07-10
Category : Technology & Engineering
ISBN : PKEY:6610000379279

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General Purpose Computing On Graphics Processing Units by Fouad Sabry Pdf

What Is General Purpose Computing On Graphics Processing Units The term "general-purpose computing on graphics processing units" (also known as "general-purpose computing on GPUs") refers to the practice of employing a graphics processing unit (GPU), which ordinarily performs computation only for the purpose of computer graphics, to carry out computation in programs that are typically performed by the central processing unit (CPU). The already parallel nature of graphics processing may be further parallelized by using numerous video cards in a single computer or a large number of graphics processors. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: General-purpose computing on graphics processing units Chapter 2: Supercomputer Chapter 3: Flynn's taxonomy Chapter 4: Graphics processing unit Chapter 5: Physics processing unit Chapter 6: Hardware acceleration Chapter 7: Stream processing Chapter 8: BrookGPU Chapter 9: CUDA Chapter 10: Close to Metal Chapter 11: Larrabee (microarchitecture) Chapter 12: AMD FireStream Chapter 13: OpenCL Chapter 14: OptiX Chapter 15: Fermi (microarchitecture) Chapter 16: Pascal (microarchitecture) Chapter 17: Single instruction, multiple threads Chapter 18: Multidimensional DSP with GPU Acceleration Chapter 19: Compute kernel Chapter 20: AI accelerator Chapter 21: ROCm (II) Answering the public top questions about general purpose computing on graphics processing units. (III) Real world examples for the usage of general purpose computing on graphics processing units in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of general purpose computing on graphics processing units' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of general purpose computing on graphics processing units.

General-Purpose Graphics Processor Architectures

Tor M. Aamodt,Wilson Wai Lun Fung,Timothy G. Rogers
General Purpose Graphics Processor Architectures Book PDF

Author : Tor M. Aamodt,Wilson Wai Lun Fung,Timothy G. Rogers
Publisher : Springer Nature
Page : 122 pages
File Size : 48,7 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017599

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General-Purpose Graphics Processor Architectures by Tor M. Aamodt,Wilson Wai Lun Fung,Timothy G. Rogers Pdf

Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures. The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of their history. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system. This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.

GPU Gems 2

Matt Pharr,Randima Fernando
GPU Gems 2 Book PDF

Author : Matt Pharr,Randima Fernando
Publisher : Addison-Wesley Professional
Page : 814 pages
File Size : 42,6 Mb
Release : 2005
Category : Computers
ISBN : 0321335597

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GPU Gems 2 by Matt Pharr,Randima Fernando Pdf

More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.

CUDA by Example

Jason Sanders,Edward Kandrot
CUDA by Example Book PDF

Author : Jason Sanders,Edward Kandrot
Publisher : Addison-Wesley Professional
Page : 523 pages
File Size : 50,8 Mb
Release : 2010-07-19
Category : Computers
ISBN : 9780132180139

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CUDA by Example by Jason Sanders,Edward Kandrot Pdf

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required—just the ability to program in a modestly extended version of C. CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You’ll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance. Major topics covered include Parallel programming Thread cooperation Constant memory and events Texture memory Graphics interoperability Atomics Streams CUDA C on multiple GPUs Advanced atomics Additional CUDA resources All the CUDA software tools you’ll need are freely available for download from NVIDIA. http://developer.nvidia.com/object/cuda-by-example.html

Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim,Richard Vuduc,Sara Baghsorkhi,Jee Choi,Wen-mei W. Hwu
Performance Analysis and Tuning for General Purpose Graphics Processing Units GPGPU Book PDF

Author : Hyesoon Kim,Richard Vuduc,Sara Baghsorkhi,Jee Choi,Wen-mei W. Hwu
Publisher : Springer Nature
Page : 88 pages
File Size : 46,8 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017377

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Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) by Hyesoon Kim,Richard Vuduc,Sara Baghsorkhi,Jee Choi,Wen-mei W. Hwu Pdf

General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a return to wide vector units (several tens vs. 1-10), memory architectures that deliver higher peak memory bandwidth (hundreds of gigabytes per second vs. tens), and smaller caches/scratchpad memories (less than 1 megabyte vs. 1-10 megabytes). In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms. We aim to provide hints to architects about understanding algorithm aspect to GPGPU. We also provide detailed performance analysis and guide optimizations from high-level algorithms to low-level instruction level optimizations. As a case study, we use n-body particle simulations known as the fast multipole method (FMM) as an example. We also briefly survey the state-of-the-art in GPU performance analysis tools and techniques. Table of Contents: GPU Design, Programming, and Trends / Performance Principles / From Principles to Practice: Analysis and Tuning / Using Detailed Performance Analysis to Guide Optimization

Designing Scientific Applications on GPUs

Raphael Couturier
Designing Scientific Applications on GPUs Book PDF

Author : Raphael Couturier
Publisher : CRC Press
Page : 496 pages
File Size : 46,5 Mb
Release : 2013-11-21
Category : Computers
ISBN : 9781466571648

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Designing Scientific Applications on GPUs by Raphael Couturier Pdf

Many of today's complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards.Understand the Benefits of Using GPUs for Many Scientific Applications

Parallel and Concurrent Programming in Haskell

Simon Marlow
Parallel and Concurrent Programming in Haskell Book PDF

Author : Simon Marlow
Publisher : "O'Reilly Media, Inc."
Page : 322 pages
File Size : 53,8 Mb
Release : 2013-07-12
Category : Computers
ISBN : 9781449335922

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Parallel and Concurrent Programming in Haskell by Simon Marlow Pdf

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network

Parallel and High Performance Computing

Robert Robey,Yuliana Zamora
Parallel and High Performance Computing Book PDF

Author : Robert Robey,Yuliana Zamora
Publisher : Simon and Schuster
Page : 702 pages
File Size : 43,5 Mb
Release : 2021-08-24
Category : Computers
ISBN : 9781638350385

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Parallel and High Performance Computing by Robert Robey,Yuliana Zamora Pdf

Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code

GPGPU Programming for Games and Science

David H. Eberly
GPGPU Programming for Games and Science Book PDF

Author : David H. Eberly
Publisher : CRC Press
Page : 471 pages
File Size : 47,6 Mb
Release : 2014-08-15
Category : Computers
ISBN : 9781466595354

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GPGPU Programming for Games and Science by David H. Eberly Pdf

An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11 GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering: Robustness Accuracy Speed Quality source code that is easily maintained, reusable, and readable The book primarily addresses programming on a graphics processing unit (GPU) while covering some material also relevant to programming on a central processing unit (CPU). It discusses many concepts of general purpose GPU (GPGPU) programming and presents practical examples in game programming and scientific programming. The author first describes numerical issues that arise when computing with floating-point arithmetic, including making trade-offs among robustness, accuracy, and speed. He then shows how single instruction multiple data (SIMD) extensions work on CPUs since GPUs also use SIMD. The core of the book focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter covers drawing 3D objects; vertex, geometry, pixel, and compute shaders; input and output resources for shaders; copying data between CPU and GPU; configuring two or more GPUs to act as one; and IEEE floating-point support on a GPU. The book goes on to explore practical matters of programming a GPU, including code sharing among applications and performing basic tasks on the GPU. Focusing on mathematics, it next discusses vector and matrix algebra, rotations and quaternions, and coordinate systems. The final chapter gives several sample GPGPU applications on relatively advanced topics. Web Resource Available on a supporting website, the author’s fully featured Geometric Tools Engine for computing and graphics saves you from having to write a large amount of infrastructure code necessary for even the simplest of applications involving shader programming. The engine provides robust and accurate source code with SIMD when appropriate and GPU versions of algorithms when possible.

Geometric Modelling, Numerical Simulation, and Optimization:

Geir Hasle,Knut-Andreas Lie,Ewald Quak
Geometric Modelling Numerical Simulation and Optimization Book PDF

Author : Geir Hasle,Knut-Andreas Lie,Ewald Quak
Publisher : Springer Science & Business Media
Page : 559 pages
File Size : 55,9 Mb
Release : 2007-06-10
Category : Mathematics
ISBN : 9783540687832

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Geometric Modelling, Numerical Simulation, and Optimization: by Geir Hasle,Knut-Andreas Lie,Ewald Quak Pdf

This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the Department of Applied Mathematics at SINTEF, the largest independent research organization in Scandinavia. Examples range from computer-aided geometric design, via general purpose computing on graphics cards, to reservoir simulation for enhanced oil recovery. Contributions are written in a tutorial style.

GPU Computing Gems Emerald Edition

Anonim
GPU Computing Gems Emerald Edition Book PDF

Author : Anonim
Publisher : Elsevier
Page : 886 pages
File Size : 45,9 Mb
Release : 2011-01-13
Category : Computers
ISBN : 0123849896

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GPU Computing Gems Emerald Edition by Anonim Pdf

GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmann's Applications of GPU Computing Series, this book offers the latest insights and research in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. This book is intended to help those who are facing the challenge of programming systems to effectively use GPUs to achieve efficiency and performance goals. It offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Readers will learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. The insights and ideas as well as practical hands-on skills in the book can be immediately put to use. Computer programmers, software engineers, hardware engineers, and computer science students will find this volume a helpful resource. For useful source codes discussed throughout the book, the editors invite readers to the following website: ..." Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use

GPU-based Parallel Implementation of Swarm Intelligence Algorithms

Ying Tan
GPU based Parallel Implementation of Swarm Intelligence Algorithms Book PDF

Author : Ying Tan
Publisher : Morgan Kaufmann
Page : 0 pages
File Size : 42,7 Mb
Release : 2016-04-05
Category : Computers
ISBN : 0128093625

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GPU-based Parallel Implementation of Swarm Intelligence Algorithms by Ying Tan Pdf

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

Languages and Compilers for Parallel Computing

Keith Cooper,John Mellor-Crummey,Vivek Sarkar
Languages and Compilers for Parallel Computing Book PDF

Author : Keith Cooper,John Mellor-Crummey,Vivek Sarkar
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 52,9 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.

Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units

Association for Computing Machinery,ACM Digital Library,Miriam Leeser
Proceedings of the 3rd Workshop on General Purpose Computation on Graphics Processing Units Book PDF

Author : Association for Computing Machinery,ACM Digital Library,Miriam Leeser
Publisher : Unknown
Page : 124 pages
File Size : 48,9 Mb
Release : 2010-03-14
Category : Computer graphics
ISBN : 1605589357

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Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units by Association for Computing Machinery,ACM Digital Library,Miriam Leeser Pdf

Third Workshop on General-Purpose Computation on Graphics Processing Units Mar 14, 2010-Mar 14, 2010 Pittsburgh, USA. You can view more information about this proceeding and all of ACMs other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

CUDA Application Design and Development

Rob Farber
CUDA Application Design and Development Book PDF

Author : Rob Farber
Publisher : Elsevier
Page : 338 pages
File Size : 51,6 Mb
Release : 2011-10-31
Category : Computers
ISBN : 9780123884268

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CUDA Application Design and Development by Rob Farber Pdf

The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries."--Pub. desc.