Designing Scientific Applications On Gpus

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Designing Scientific Applications on GPUs

Raphael Couturier
Designing Scientific Applications on GPUs Book PDF

Author : Raphael Couturier
Publisher : CRC Press
Page : 500 pages
File Size : 47,6 Mb
Release : 2013-11-21
Category : Mathematics
ISBN : 9781466571624

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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 Designing Scientific Applications on GPUs shows you how to use GPUs for applications in diverse scientific fields, from physics and mathematics to computer science. The book explains the methods necessary for designing or porting your scientific application on GPUs. It will improve your knowledge about image processing, numerical applications, methodology to design efficient applications, optimization methods, and much more. Everything You Need to Design/Port Your Scientific Application on GPUs The first part of the book introduces the GPUs and Nvidia’s CUDA programming model, currently the most widespread environment for designing GPU applications. The second part focuses on significant image processing applications on GPUs. The third part presents general methodologies for software development on GPUs and the fourth part describes the use of GPUs for addressing several optimization problems. The fifth part covers many numerical applications, including obstacle problems, fluid simulation, and atomic physics models. The last part illustrates agent-based simulations, pseudorandom number generation, and the solution of large sparse linear systems for integer factorization. Some of the codes presented in the book are available online.

CUDA Application Design and Development

Rob Farber
CUDA Application Design and Development Book PDF

Author : Rob Farber
Publisher : Elsevier
Page : 338 pages
File Size : 50,6 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.

System-Level Design of GPU-Based Embedded Systems

Arian Maghazeh
System Level Design of GPU Based Embedded Systems Book PDF

Author : Arian Maghazeh
Publisher : Linköping University Electronic Press
Page : 62 pages
File Size : 54,5 Mb
Release : 2018-12-07
Category : Electronic
ISBN : 9789176851753

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System-Level Design of GPU-Based Embedded Systems by Arian Maghazeh Pdf

Modern embedded systems deploy several hardware accelerators, in a heterogeneous manner, to deliver high-performance computing. Among such devices, graphics processing units (GPUs) have earned a prominent position by virtue of their immense computing power. However, a system design that relies on sheer throughput of GPUs is often incapable of satisfying the strict power- and time-related constraints faced by the embedded systems. This thesis presents several system-level software techniques to optimize the design of GPU-based embedded systems under various graphics and non-graphics applications. As compared to the conventional application-level optimizations, the system-wide view of our proposed techniques brings about several advantages: First, it allows for fully incorporating the limitations and requirements of the various system parts in the design process. Second, it can unveil optimization opportunities through exposing the information flow between the processing components. Third, the techniques are generally applicable to a wide range of applications with similar characteristics. In addition, multiple system-level techniques can be combined together or with application-level techniques to further improve the performance. We begin by studying some of the unique attributes of GPU-based embedded systems and discussing several factors that distinguish the design of these systems from that of the conventional high-end GPU-based systems. We then proceed to develop two techniques that address an important challenge in the design of GPU-based embedded systems from different perspectives. The challenge arises from the fact that GPUs require a large amount of workload to be present at runtime in order to deliver a high throughput. However, for some embedded applications, collecting large batches of input data requires an unacceptable waiting time, prompting a trade-off between throughput and latency. We also develop an optimization technique for GPU-based applications to address the memory bottleneck issue by utilizing the GPU L2 cache to shorten data access time. Moreover, in the area of graphics applications, and in particular with a focus on mobile games, we propose a power management scheme to reduce the GPU power consumption by dynamically adjusting the display resolution, while considering the user's visual perception at various resolutions. We also discuss the collective impact of the proposed techniques in tackling the design challenges of emerging complex systems. The proposed techniques are assessed by real-life experimentations on GPU-based hardware platforms, which demonstrate the superior performance of our approaches as compared to the state-of-the-art techniques.

CUDA Application Design and Development

Rob Farber
CUDA Application Design and Development Book PDF

Author : Rob Farber
Publisher : Elsevier
Page : 336 pages
File Size : 54,6 Mb
Release : 2011-10-08
Category : Computers
ISBN : 9780123884329

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CUDA Application Design and Development by Rob Farber Pdf

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. 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. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding. Includes multiple examples building from simple to more complex applications in four key areas: machine learning, visualization, vision recognition, and mobile computing Addresses the foundational issues for CUDA development: multi-threaded programming and the different memory hierarchy Includes teaching chapters designed to give a full understanding of CUDA tools, techniques and structure. Presents CUDA techniques in the context of the hardware they are implemented on as well as other styles of programming that will help readers bridge into the new material

GPU Computing and Applications

Yiyu Cai,Simon See
GPU Computing and Applications Book PDF

Author : Yiyu Cai,Simon See
Publisher : Springer
Page : 289 pages
File Size : 53,5 Mb
Release : 2014-11-20
Category : Technology & Engineering
ISBN : 9789812871343

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GPU Computing and Applications by Yiyu Cai,Simon See Pdf

This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.

Advances in GPU Research and Practice

Hamid Sarbazi Azad
Advances in GPU Research and Practice Book PDF

Author : Hamid Sarbazi Azad
Publisher : Morgan Kaufmann
Page : 774 pages
File Size : 52,9 Mb
Release : 2016-09-15
Category : Computers
ISBN : 9780128037881

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Advances in GPU Research and Practice by Hamid Sarbazi Azad Pdf

Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications

GPU Computing Gems Emerald Edition

Anonim
GPU Computing Gems Emerald Edition Book PDF

Author : Anonim
Publisher : Elsevier
Page : 886 pages
File Size : 45,8 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

Hands-On GPU Computing with Python

Avimanyu Bandyopadhyay
Hands On GPU Computing with Python Book PDF

Author : Avimanyu Bandyopadhyay
Publisher : Packt Publishing Ltd
Page : 441 pages
File Size : 43,9 Mb
Release : 2019-05-14
Category : Computers
ISBN : 9781789342406

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Hands-On GPU Computing with Python by Avimanyu Bandyopadhyay Pdf

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 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 : 46,5 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.

GPU Solutions to Multi-scale Problems in Science and Engineering

David A. Yuen,Long Wang,Xuebin Chi,Lennart Johnsson,Wei Ge,Yaolin Shi
GPU Solutions to Multi scale Problems in Science and Engineering Book PDF

Author : David A. Yuen,Long Wang,Xuebin Chi,Lennart Johnsson,Wei Ge,Yaolin Shi
Publisher : Springer Science & Business Media
Page : 693 pages
File Size : 47,7 Mb
Release : 2013-01-09
Category : Computers
ISBN : 9783642164057

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GPU Solutions to Multi-scale Problems in Science and Engineering by David A. Yuen,Long Wang,Xuebin Chi,Lennart Johnsson,Wei Ge,Yaolin Shi Pdf

This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.

Numerical Computations with GPUs

Volodymyr Kindratenko
Numerical Computations with GPUs Book PDF

Author : Volodymyr Kindratenko
Publisher : Springer
Page : 404 pages
File Size : 53,5 Mb
Release : 2014-07-03
Category : Computers
ISBN : 9783319065489

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Numerical Computations with GPUs by Volodymyr Kindratenko Pdf

This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.

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 : 47,8 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

Programming GPUs

Andrew Sheppard
Programming GPUs Book PDF

Author : Andrew Sheppard
Publisher : O'Reilly Media, Incorporated
Page : 0 pages
File Size : 53,5 Mb
Release : 2012-12-15
Category : Computers
ISBN : 1449302351

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Programming GPUs by Andrew Sheppard Pdf

GPUs may have started life as graphics processors, but recently they've emerged as a fantastic numerical co-processor for high-performance general applications on the CPU. This book not only teaches you the fundamentals of parallel programming with GPUs, it helps you think in parallel. You learn best practices, algorithms, and designs for achieving greater application performance with these processors. Amazon recently added GPU supercomputing to its cloud-computing platform—a clear sign that parallel programming is becoming an essential skill. This book includes valuable input from major CPU and GPU manufacturers—Intel, NVIDIA and AMD—to help experienced programmers get a head start on programming GPU applications. Understand the differences between parallel and sequential programming Learn about GPU architecture, including the runtime environment, threads, and memory Build and deploy GPU applications and libraries—and port existing applications Use debugging and profiling tools and techniques Write GPU programs for clusters and the cloud Design programs that will take advantage of future enhancements to GPU technology—including the trend of putting CPU and GPU cores on a single chip

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 : 40,6 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.

Exascale Scientific Applications

Tjerk P. Straatsma,Katerina B. Antypas,Timothy J. Williams
Exascale Scientific Applications Book PDF

Author : Tjerk P. Straatsma,Katerina B. Antypas,Timothy J. Williams
Publisher : CRC Press
Page : 1106 pages
File Size : 48,5 Mb
Release : 2017-11-13
Category : Computers
ISBN : 9781351999236

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Exascale Scientific Applications by Tjerk P. Straatsma,Katerina B. Antypas,Timothy J. Williams Pdf

From the Foreword: "The authors of the chapters in this book are the pioneers who will explore the exascale frontier. The path forward will not be easy... These authors, along with their colleagues who will produce these powerful computer systems will, with dedication and determination, overcome the scalability problem, discover the new algorithms needed to achieve exascale performance for the broad range of applications that they represent, and create the new tools needed to support the development of scalable and portable science and engineering applications. Although the focus is on exascale computers, the benefits will permeate all of science and engineering because the technologies developed for the exascale computers of tomorrow will also power the petascale servers and terascale workstations of tomorrow. These affordable computing capabilities will empower scientists and engineers everywhere." — Thom H. Dunning, Jr., Pacific Northwest National Laboratory and University of Washington, Seattle, Washington, USA "This comprehensive summary of applications targeting Exascale at the three DoE labs is a must read." — Rio Yokota, Tokyo Institute of Technology, Tokyo, Japan "Numerical simulation is now a need in many fields of science, technology, and industry. The complexity of the simulated systems coupled with the massive use of data makes HPC essential to move towards predictive simulations. Advances in computer architecture have so far permitted scientific advances, but at the cost of continually adapting algorithms and applications. The next technological breakthroughs force us to rethink the applications by taking energy consumption into account. These profound modifications require not only anticipation and sharing but also a paradigm shift in application design to ensure the sustainability of developments by guaranteeing a certain independence of the applications to the profound modifications of the architectures: it is the passage from optimal performance to the portability of performance. It is the challenge of this book to demonstrate by example the approach that one can adopt for the development of applications offering performance portability in spite of the profound changes of the computing architectures." — Christophe Calvin, CEA, Fundamental Research Division, Saclay, France "Three editors, one from each of the High Performance Computer Centers at Lawrence Berkeley, Argonne, and Oak Ridge National Laboratories, have compiled a very useful set of chapters aimed at describing software developments for the next generation exa-scale computers. Such a book is needed for scientists and engineers to see where the field is going and how they will be able to exploit such architectures for their own work. The book will also benefit students as it provides insights into how to develop software for such computer architectures. Overall, this book fills an important need in showing how to design and implement algorithms for exa-scale architectures which are heterogeneous and have unique memory systems. The book discusses issues with developing user codes for these architectures and how to address these issues including actual coding examples.’ — Dr. David A. Dixon, Robert Ramsay Chair, The University of Alabama, Tuscaloosa, Alabama, USA