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GPU Pro 5 Book [PDF] Download

Download the fantastic book titled GPU Pro 5 written by Wolfgang Engel, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "GPU Pro 5", which was released on 20 May 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of GPU Pro 5 by Wolfgang Engel PDF

In GPU Pro5: Advanced Rendering Techniques, section editors Wolfgang Engel, Christopher Oat, Carsten Dachsbacher, Michal Valient, Wessam Bahnassi, and Marius Bjorge have once again assembled a high-quality collection of cutting-edge techniques for advanced graphics processing unit (GPU) programming. Divided into six sections, the book covers render

GPU Pro 5

Detail About GPU Pro 5 PDF

  • Author : Wolfgang Engel
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 524 pages
  • ISBN : 1482208644
  • PDF File Size : 19,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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GPU Pro 5

GPU Pro 5
  • Publisher : CRC Press
  • File Size : 33,5 Mb
  • Release Date : 20 May 2014
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In GPU Pro5: Advanced Rendering Techniques, section editors Wolfgang Engel, Christopher Oat, Carsten Dachsbacher, Michal Valient, Wessam Bahnassi, and Marius Bjorge have once again assembled a high-quality collection of cutting-edge

GPU Pro 2

GPU Pro 2
  • Publisher : CRC Press
  • File Size : 55,5 Mb
  • Release Date : 19 April 2016
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This book focuses on advanced rendering techniques that run on the DirectX and/or OpenGL run-time with any shader language available. It includes articles on the latest and greatest techniques

GPU Pro 360 Guide to Rendering

GPU Pro 360 Guide to Rendering
  • Publisher : CRC Press
  • File Size : 45,6 Mb
  • Release Date : 27 April 2018
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Wolfgang Engel’s GPU Pro 360 Guide to Rendering gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers real-time rendering.

GPU Pro 7

GPU Pro 7
  • Publisher : CRC Press
  • File Size : 20,9 Mb
  • Release Date : 23 March 2016
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The latest edition of this bestselling game development reference offers proven tips and techniques for the real-time rendering of special effects and visualization data that are useful for beginners and

GPU Pro 6

GPU Pro 6
  • Publisher : CRC Press
  • File Size : 30,5 Mb
  • Release Date : 28 July 2015
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The latest edition of this bestselling game development reference offers proven tips and techniques for the real-time rendering of special effects and visualization data that are useful for beginners and

Real-Time Rendering

Real-Time Rendering
  • Publisher : CRC Press
  • File Size : 21,8 Mb
  • Release Date : 18 January 2019
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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

GPU PRO 3

GPU PRO 3
  • Publisher : CRC Press
  • File Size : 41,6 Mb
  • Release Date : 21 February 2012
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GPU Pro3, the third volume in the GPU Pro book series, offers practical tips and techniques for creating real-time graphics that are useful to beginners and seasoned game and graphics

GPU Gems 3

GPU Gems 3
  • Publisher : Addison-Wesley Professional
  • File Size : 33,6 Mb
  • Release Date : 29 May 2024
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Still more useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.

OpenCL in Action

OpenCL in Action
  • Publisher : Simon and Schuster
  • File Size : 54,7 Mb
  • Release Date : 13 November 2011
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Summary OpenCL in Action is a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high-performance applications of their own. It begins by presenting the

Hands-On GPU Programming with Python and CUDA

Hands-On GPU Programming with Python and CUDA
  • Publisher : Packt Publishing Ltd
  • File Size : 49,5 Mb
  • Release Date : 27 November 2018
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Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this