• Ebook download deutsch kostenlos CUDA 4.1 Programming Cookbook CHM by Dr. Anne C. Elster English version

    CUDA 4.1 Programming Cookbook. Dr. Anne C. Elster

     

    CUDA 4.1 Programming Cookbook

     


    CUDA-4-1-Programming-Cookbook.pdf
    ISBN: 9781849693783 | 300 pages | 8 Mb
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    • CUDA 4.1 Programming Cookbook
    • Dr. Anne C. Elster
    • Page: 300
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9781849693783
    • Publisher: Packt Publishing, Limited

    Download CUDA 4.1 Programming Cookbook

     

     

    Ebook download deutsch kostenlos CUDA 4.1 Programming Cookbook CHM by Dr. Anne C. Elster English version

     

    Over 95 intermediate and advanced CUDA recipes to take your CUDA and GPU programming skills to the next level About This Book Get to grips with advanced topics such as combining OpenCL and CUDA , using multiple GPUs, and CUDA optimizations Combine great graphics functions from OpenGL with CUDA and use MPI to take advantage of using several GPUs simultaneously A step-by-step guide to writing efficient CUDA applications with lots of tips and tricks Who This Book Is For If you are a developer, researcher, or a professional working with accelerator-based computing systems with a starting-level knowledge of the CUDA Architecture, but want to take your CUDA and GPU programming skills to the next level, this is the book for you. Proficiency in C/C++ programming is expected. Some familiarity with GPU parallel computing concepts and programming will be helpful. What You Will Learn Learn how to use the CUDA SDK and related libraries including CU-BLAS and CU-FFT Combine great graphics functions from OpenGL with CUDA Align 2D structures using pitched allocation Use MPI to take advantage of using several GPUs simultaneously Understand how the Ray Casting technique can be implemented for both the CPU as well as the GPU Implement a CUDA- and OpenGL-based Kalmar filter Implement a CUDA-based fluid simulation and N-body simulation Optimize CUDA on Kepler and learn more about the CUDA Device Driver Issues In Detail GPUs enable users of desktop machines to get access to the compute-power previously only available to supercomputer users. The introduction of CUDA and OpenCL has given application programmers access to the compute-resources of modern GPU devices originally designed for graphics processing. Compute-intensive applications—from imaging and computing vision to physics-based simulations for gaming and science—can now be developed in CUDA and run in real-time on your home or office PC with a high-end NVIDIA card. This book will be your companion in writing effective CUDA applications by applying various algorithms and techniques. It begins with a quick introduction to CUDA, followed by understanding and utilizing the CPU and GPU memory models. Then you will be introduced to several useful libraries to help you in profiling and optimizing your code. You will see how to harness the computational power from not only one but several CPUs and GPUs. Finally, you will learn more about the different CUDA debuggers and how to autotune your GPU memory.

    CUDA 4.1 Programming Cookbook: Amazon.co.uk: Dr. Anne C
    Buy CUDA 4.1 Programming Cookbook by Dr. Anne C. Elster, Dr. Malik Muhammad Zaki Murtaza Khan (ISBN: 9781849693783) from Amazon's Book Store. OpenCV | barkingbogart
    install the latest version of NVidia driver and CUDA Toolkit. recompile CUDA 4.0; OpenCV 2.4 requies CUDA 4.1; OpenCV2.4.1 requires CUDA 4.2. . I played with some code from OpenCV samples and the C++ cookbook today. . OpenGL · socket · Uncategorized · Web · Windows programming · WPF  Amazon.co.uk: Dr Muhammad Khan: Books
    Results 1 - 16 of 81 CUDA 4.1 Programming Cookbook. 6 Jun 2016. by Dr. Anne C. Elster and Dr. Malik Muhammad Zaki Murtaza Khan  Amazon.co.uk: Malik Muhammad Khan: Books
    CUDA 4.1 Programming Cookbook. 6 Jun 2016. by Dr. Anne C. Elster and Dr. Malik Muhammad Zaki Murtaza Khan. Currently unavailable. Product Details  OpenCL Parallel Programming Development Cookbook eBook
    Amazon.com: OpenCL Parallel Programming Development Cookbook eBook: on projects that use GPGPU technology and techniques in CUDA and OpenCL.



     

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