GPU Computing Gems

"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--

Produk Detail:

  • Author : Wen-mei W. Hwu
  • Publisher : Elsevier
  • Pages : 541 pages
  • ISBN : 0123859638
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKGPU Computing Gems

GPU Computing Gems

GPU Computing Gems
  • Author : Wen-mei W. Hwu
  • Publisher : Elsevier
  • Release : 28 October 2021
GET THIS BOOKGPU Computing Gems

"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--

GPU Computing Gems Jade Edition

GPU Computing Gems Jade Edition
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 02 November 2011
GET THIS BOOKGPU Computing Gems Jade Edition

GPU Computing Gems, Jade Edition, offers hands-on, proven techniques for general purpose GPU programming based on the successful application experiences of leading researchers and developers. One of few resources available that distills the best practices of the community of CUDA programmers, this second edition contains 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, and green computing. It covers new tools and frameworks for productive GPU computing application development and provides immediate benefit to researchers

CUDA Application Design and Development

CUDA Application Design and Development
  • Author : Rob Farber
  • Publisher : Elsevier
  • Release : 28 October 2021
GET THIS BOOKCUDA Application Design and Development

Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.

Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
  • Author : Benedict Gaster
  • Publisher : Newnes
  • Release : 13 November 2012
GET THIS BOOKHeterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address

Programming Massively Parallel Processors

Programming Massively Parallel Processors
  • Author : David B. Kirk,Wen-mei W. Hwu
  • Publisher : Newnes
  • Release : 31 December 2012
GET THIS BOOKProgramming Massively Parallel Processors

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

OpenGL Development Cookbook

OpenGL Development Cookbook
  • Author : Muhammad Mobeen Movania
  • Publisher : Packt Publishing Ltd
  • Release : 01 January 2013
GET THIS BOOKOpenGL Development Cookbook

The book is written in a Cookbook format with practical recipes aimed at helping you exploit OpenGL to its full potential. This book is targeted towards intermediate OpenGL programmers. However, those who are new to OpenGL and know an alternate API like DirectX might also find these recipes useful to create OpenGL animations.

GPU Computing Gems Emerald Edition

GPU Computing Gems Emerald Edition
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 13 January 2011
GET THIS BOOKGPU Computing Gems Emerald Edition

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

Distributed and Cloud Computing

Distributed and Cloud Computing
  • Author : Kai Hwang,Jack Dongarra,Geoffrey C. Fox
  • Publisher : Morgan Kaufmann
  • Release : 18 December 2013
GET THIS BOOKDistributed and Cloud Computing

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery

The CUDA Handbook

The CUDA Handbook
  • Author : Nicholas Wilt
  • Publisher : Addison-Wesley
  • Release : 11 June 2013
GET THIS BOOKThe CUDA Handbook

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

Beautiful Code

Beautiful Code
  • Author : Greg Wilson,Andy Oram
  • Publisher : "O'Reilly Media, Inc."
  • Release : 26 June 2007
GET THIS BOOKBeautiful Code

How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes. This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think

Machine Learning in Finance

Machine Learning in Finance
  • Author : Matthew F. Dixon,Igor Halperin,Paul Bilokon
  • Publisher : Springer Nature
  • Release : 01 July 2020
GET THIS BOOKMachine Learning in Finance

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is

Differential Evolution

Differential Evolution
  • Author : Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
  • Publisher : Springer Science & Business Media
  • Release : 04 March 2006
GET THIS BOOKDifferential Evolution

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for

Parallel and Distributed Processing and Applications

Parallel and Distributed Processing and Applications
  • Author : Jiannong Cao,Laurence T. Yang,Minyi Guo,Francis Lau
  • Publisher : Springer
  • Release : 17 January 2005
GET THIS BOOKParallel and Distributed Processing and Applications

Welcometotheproceedingsofthe2ndInternationalSymposiumonParalleland Distributed Processing and Applications (ISPA2004) which was held in Hong Kong, China, 13–15 December, 2004. With the advance of computer networks and hardware technology, parallel and distributed processing has become a key technology which plays an imp- tant part in determining future research and development activities in many academic and industrial branches. It provides a means to solve computati- ally intensive problems by improving processing speed. It is also the only - ableapproachtobuildinghighlyreliableandinherentlydistributedapplications. ISPA2004 provided a forum for scientists and

CUDA Programming

CUDA Programming
  • Author : Shane Cook
  • Publisher : Newnes
  • Release : 28 October 2021
GET THIS BOOKCUDA Programming

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction 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. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to

Euro-Par 2016: Parallel Processing Workshops

Euro-Par 2016: Parallel Processing Workshops
  • Author : Frédéric Desprez,Pierre-François Dutot,Christos Kaklamanis,Loris Marchal,Korbinian Molitorisz,Laura Ricci,Vittorio Scarano,Miguel A. Vega-Rodríguez,Ana Lucia Varbanescu,Sascha Hunold,Stephen L. Scott,Stefan Lankes,Josef Weidendorfer
  • Publisher : Springer
  • Release : 28 May 2017
GET THIS BOOKEuro-Par 2016: Parallel Processing Workshops

This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France in August 2016. The 65 full papers presented were carefully reviewed and selected from 95 submissions. The volume includes the papers from the following workshops: Euro-EDUPAR (Second European Workshop on Parallel and Distributed Computing Education for Undergraduate Students) – HeteroPar 2016 (the 14th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms) – IWMSE (5th International Workshop on Multicore