The History Of The Gpu New Developments

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The History of the GPU - New Developments

Author : Jon Peddie
Publisher : Springer Nature
ISBN 13 : 3031140478
Total Pages : 434 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis The History of the GPU - New Developments by : Jon Peddie

Download or read book The History of the GPU - New Developments written by Jon Peddie and published by Springer Nature. This book was released on 2023-01-01 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third book in the three-part series on the History of the GPU covers the second to sixth eras of the GPU, which can be found in anything that has a display or screen. The GPU is now part of supercomputers, PCs, Smartphones and tablets, wearables, game consoles and handhelds, TVs, and every type of vehicle including boats and planes. In the early 2000s the number of GPU suppliers consolidated to three whereas now, the number has expanded to almost 20. In 2022 the GPU market was worth over $250 billion with over 2.2 billion GPUs being sold just in PCs, and more than 10 billion in smartphones. Understanding the power and history of these devices is not only a fascinating tale, but one that will aid your understanding of some of the developments in consumer electronics, computers, new automobiles, and your fitness watch.

The History of the GPU - Eras and Environment

Author : Jon Peddie
Publisher : Springer Nature
ISBN 13 : 3031135814
Total Pages : 355 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis The History of the GPU - Eras and Environment by : Jon Peddie

Download or read book The History of the GPU - Eras and Environment written by Jon Peddie and published by Springer Nature. This book was released on 2023-01-01 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second book in a three-part series that traces the development of the GPU, which is defined as a single chip with an integrated transform and lighting (T&L) capability. This feature previously was found in workstations as a stand-alone chip that only performed geometry functions. Enabled by Moore’s law, the first era of GPUs began in the late 1990s. Silicon Graphics (SGI) introduced T&L first in 1996 with the Nintendo 64 chipset with integrated T&L but didn’t follow through. ArtX developed a chipset with integrated T&L but didn’t bring it to market until November 1999. The need to integrate the transform and lighting functions in the graphics controller was well understood and strongly desired by dozens of companies. Nvidia was the first to produce a PC consumer level single chip with T&L in October 1999. All in all, fifteen companies came close, they had designs and experience, but one thing or another got in their way to prevent them succeeding. All the forces and technology were converging; the GPU was ready to emerge. Several of the companies involved did produce an integrated GPU, but not until early 2000. This is the account of those companies, the GPU and the environment needed to support it. The GPU has become ubiquitous and can be found in every platform that involves a computer and a user interface.

The History of the GPU - Steps to Invention

Author : Jon Peddie
Publisher : Springer Nature
ISBN 13 : 3031109686
Total Pages : 424 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis The History of the GPU - Steps to Invention by : Jon Peddie

Download or read book The History of the GPU - Steps to Invention written by Jon Peddie and published by Springer Nature. This book was released on 2023-01-01 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book in a three-part series that traces the development of the GPU. Initially developed for games the GPU can now be found in cars, supercomputers, watches, game consoles and more. GPU concepts go back to the 1970s when computer graphics was developed for computer-aided design of automobiles and airplanes. Early computer graphics systems were adopted by the film industry and simulators for airplanes and high energy physics—exploding nuclear bombs in computers instead of the atmosphere. A GPU has an integrated transform and lighting engine, but these were not available until the end of the 1990s. Heroic and historic companies expanded the development and capabilities of the graphics controller in pursuit of the ultimate device, a fully integrated self-contained GPU. Fifteen companies worked on building the first fully integrated GPU, some succeeded in the console, and Northbridge segments, and Nvidia was the first to offer a fully integrated GPU for the PC. Today the GPU can be found in every platform that involves a computer and a user interface.

GPU Gems 3

Author : Hubert Nguyen
Publisher : Addison-Wesley Professional
ISBN 13 : 9780321515261
Total Pages : 942 pages
Book Rating : 4.5/5 (152 download)

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Book Synopsis GPU Gems 3 by : Hubert Nguyen

Download or read book GPU Gems 3 written by Hubert Nguyen and published by Addison-Wesley Professional. This book was released on 2008 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Still more useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.

Serious Games

Author : Mads Haahr
Publisher : Springer Nature
ISBN 13 : 3031447514
Total Pages : 460 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Serious Games by : Mads Haahr

Download or read book Serious Games written by Mads Haahr and published by Springer Nature. This book was released on 2023-10-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Joint International Conference on Serious Games, JCSG 2023, held in Dublin, Ireland, during October 26–27, 2023. The 18 full papers presented together with 9 short papers and 14 poster papers were carefully reviewed and selected from 53 submissions. They are grouped into the following topics: technology and systems; theoretical and design aspects; health and wellbeing; extended realities; soft and social skills; academic skills; and posters and exhibits.

The History of Visual Magic in Computers

Author : Jon Peddie
Publisher : Springer Science & Business Media
ISBN 13 : 1447149327
Total Pages : 485 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis The History of Visual Magic in Computers by : Jon Peddie

Download or read book The History of Visual Magic in Computers written by Jon Peddie and published by Springer Science & Business Media. This book was released on 2013-06-13 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have ever looked at a fantastic adventure or science fiction movie, or an amazingly complex and rich computer game, or a TV commercial where cars or gas pumps or biscuits behaved liked people and wondered, “How do they do that?”, then you’ve experienced the magic of 3D worlds generated by a computer. 3D in computers began as a way to represent automotive designs and illustrate the construction of molecules. 3D graphics use evolved to visualizations of simulated data and artistic representations of imaginary worlds. In order to overcome the processing limitations of the computer, graphics had to exploit the characteristics of the eye and brain, and develop visual tricks to simulate realism. The goal is to create graphics images that will overcome the visual cues that cause disbelief and tell the viewer this is not real. Thousands of people over thousands of years have developed the building blocks and made the discoveries in mathematics and science to make such 3D magic possible, and The History of Visual Magic in Computers is dedicated to all of them and tells a little of their story. It traces the earliest understanding of 3D and then foundational mathematics to explain and construct 3D; from mechanical computers up to today’s tablets. Several of the amazing computer graphics algorithms and tricks came of periods where eruptions of new ideas and techniques seem to occur all at once. Applications emerged as the fundamentals of how to draw lines and create realistic images were better understood, leading to hardware 3D controllers that drive the display all the way to stereovision and virtual reality.

Real-Time Rendering

Author : Tomas Akenine-Möller
Publisher : CRC Press
ISBN 13 : 1315362007
Total Pages : 1046 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Real-Time Rendering by : Tomas Akenine-Möller

Download or read book Real-Time Rendering written by Tomas Akenine-Möller and published by CRC Press. This book was released on 2019-01-18 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised, this third edition focuses on modern techniques used to generate synthetic three-dimensional images in a fraction of a second. With the advent of programmable shaders, a wide variety of new algorithms have arisen and evolved over the past few years. This edition discusses current, practical rendering methods used in games and other applications. It also presents a solid theoretical framework and relevant mathematics for the field of interactive computer graphics, all in an approachable style. The authors have made the figures used in the book available for download for fair use.:Download Figures. Reviews Rendering has been a required reference for professional graphics practitioners for nearly a decade. This latest edition is as relevant as ever, covering topics from essential mathematical foundations to advanced techniques used by today’s cutting edge games. -- Gabe Newell, President, Valve, May 2008 Rendering ... has been completely revised and revamped for its updated third edition, which focuses on modern techniques used to generate three-dimensional images in a fraction of the time old processes took. From practical rendering for games to math and details for better interactive applications, it's not to be missed. -- The Bookwatch, November 2008 You'll get brilliantly lucid explanations of concepts like vertex morphing and variance shadow mapping—as well as a new respect for the incredible craftsmanship that goes into today's PC games. -- Logan Decker, PC Gamer Magazine , February 2009

CUDA by Example

Author : Jason Sanders
Publisher : Addison-Wesley Professional
ISBN 13 : 0132180138
Total Pages : 524 pages
Book Rating : 4.1/5 (321 download)

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Book Synopsis CUDA by Example by : Jason Sanders

Download or read book CUDA by Example written by Jason Sanders and published by Addison-Wesley Professional. This book was released on 2010-07-19 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Programming Massively Parallel Processors

Author : David B. Kirk
Publisher : Newnes
ISBN 13 : 0123914183
Total Pages : 519 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Programming Massively Parallel Processors by : David B. Kirk

Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

CUDA Handbook

Author : Nicholas Wilt
Publisher : Addison-Wesley
ISBN 13 : 0133261506
Total Pages : 526 pages
Book Rating : 4.1/5 (332 download)

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Book Synopsis CUDA Handbook by : Nicholas Wilt

Download or read book CUDA Handbook written by Nicholas Wilt and published by Addison-Wesley. This book was released on 2013-06-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization. The accompanying open source code–more than 25,000 lines of it, freely available at www.cudahandbook.com–is specifically intended to be reused and repurposed by developers. Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts: Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible. Part II, Details, provides thorough descriptions of every aspect of CUDA, including Memory Streams and events Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5 The streaming multiprocessors, including descriptions of all features through SM 3.5 Programming multiple GPUs Texturing The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases. Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including Streaming workloads Reduction Parallel prefix sum (Scan) N-body Image Processing These algorithms cover the full range of potential CUDA applications.

Hands-On GPU Computing with Python

Author : Avimanyu Bandyopadhyay
Publisher : Packt Publishing Ltd
ISBN 13 : 1789342406
Total Pages : 441 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Hands-On GPU Computing with Python by : Avimanyu Bandyopadhyay

Download or read book Hands-On GPU Computing with Python written by Avimanyu Bandyopadhyay and published by Packt Publishing Ltd. This book was released on 2019-05-14 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate Key FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook Description GPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. What you will learnUtilize Python libraries and frameworks for GPU accelerationSet up a GPU-enabled programmable machine learning environment on your system with AnacondaDeploy your machine learning system on cloud containers with illustrated examplesExplore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm.Perform data mining tasks with machine learning models on GPUsExtend your knowledge of GPU computing in scientific applicationsWho this book is for Data Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.

Gpu Parallel Program Development Using Cuda

Author : Tolga Soyata
Publisher : CRC Press
ISBN 13 : 9780367572242
Total Pages : 440 pages
Book Rating : 4.5/5 (722 download)

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Book Synopsis Gpu Parallel Program Development Using Cuda by : Tolga Soyata

Download or read book Gpu Parallel Program Development Using Cuda written by Tolga Soyata and published by CRC Press. This book was released on 2020-06-30 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs. Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust), the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apple's Swift and Metal, ) and the deep learning library cuDNN.

Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing

Author : Ganesh Chandra Deka
Publisher : Information Science Reference
ISBN 13 : 9781466688537
Total Pages : 0 pages
Book Rating : 4.6/5 (885 download)

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Book Synopsis Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing by : Ganesh Chandra Deka

Download or read book Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing written by Ganesh Chandra Deka and published by Information Science Reference. This book was released on 2015-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores methods of treating computing resources and materials as a standard utility, charging customers based on their usage and promoting competition among service providers, covering both benefits and hindrances, as well as theoretical concepts and practical considerations"--

Designing Scientific Applications on GPUs

Author : Raphael Couturier
Publisher : CRC Press
ISBN 13 : 1466571640
Total Pages : 496 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Designing Scientific Applications on GPUs by : Raphael Couturier

Download or read book Designing Scientific Applications on GPUs written by Raphael Couturier and published by CRC Press. This book was released on 2013-11-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

CUDA Programming

Author : Shane Cook
Publisher : Newnes
ISBN 13 : 0124159338
Total Pages : 592 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis CUDA Programming by : Shane Cook

Download or read book CUDA Programming written by Shane Cook and published by Newnes. This book was released on 2012-11-13 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'CUDA Programming' offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation.

GPU Computing Gems Emerald Edition

Author :
Publisher : Elsevier
ISBN 13 : 0123849896
Total Pages : 889 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis GPU Computing Gems Emerald Edition by :

Download or read book GPU Computing Gems Emerald Edition written by and published by Elsevier. This book was released on 2011-01-13 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

General-Purpose Graphics Processor Architectures

Author : Tor M. Aamodt
Publisher : Springer Nature
ISBN 13 : 3031017595
Total Pages : 122 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis General-Purpose Graphics Processor Architectures by : Tor M. Aamodt

Download or read book General-Purpose Graphics Processor Architectures written by Tor M. Aamodt and published by Springer Nature. This book was released on 2022-05-31 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.