GPU Computing Gems Emerald Edition (Hardcover)

Wen-mei W. Hwu

  • 出版商: Morgan Kaufmann
  • 出版日期: 2011-01-24
  • 定價: $2,650
  • 售價: 8.5$2,253
  • 語言: 英文
  • 頁數: 886
  • 裝訂: Hardcover
  • ISBN: 0123849888
  • ISBN-13: 9780123849885
  • 相關分類: GPU
  • 立即出貨

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商品描述

".the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010

Graphics processing units (GPUs) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines.

GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including:

  • Black hole simulations with CUDA
  • GPU-accelerated computation and interactive display of molecular orbitals
  • Temporal data mining for neuroscience
  • GPU -based parallelization for fast circuit optimization
  • Fast graph cuts for computer vision
  • Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
  • GPU image demosaicing
  • Tomographic image reconstruction from unordered lines with CUDA
  • Medical image processing using GPU -accelerated ITK image filters
  • 41 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any domain

GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, and video / image processing.

 

 


  • 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

 

 

商品描述(中文翻譯)

「.the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk.」- Nicolas Pinto, 哈佛大學和麻省理工學院的研究科學家,2009-2010年NVIDIA Fellow。

圖形處理單元(GPU)不僅僅用於渲染圖形,科學家和研究人員越來越多地借助GPU來提高計算密集型實驗的效率和性能,涵蓋各個學科領域。

《GPU Computing Gems: Emerald Edition》將這些技術帶給您,展示了基於GPU的解決方案,包括:

- 使用CUDA進行黑洞模擬
- GPU加速計算和分子軌道的交互式顯示
- 用於神經科學的時間數據挖掘
- 基於GPU的並行化快速電路優化
- 用於計算機視覺的快速圖形剪切
- 使用漸進多分辨率自適應窗口在GPGPU上進行實時立體視覺
- GPU圖像解譜
- 使用CUDA從無序線條進行斷層圖像重建
- 使用GPU加速的ITK圖像濾波器進行醫學圖像處理
- 還有其他41個創新的GPU計算理念,適合任何領域的研究人員閱讀

《GPU Computing Gems: Emerald Edition》是Morgan Kaufmann的《GPU Computing Series》系列中的第一卷,提供了計算機視覺、電子設計自動化、新興的數據密集應用、生命科學、醫學成像、光線追蹤和渲染、科學模擬、信號和音頻處理、統計建模以及視頻/圖像處理等領域的最新見解和研究成果。

本書涵蓋了從科學模擬和電子設計自動化到音頻/視頻處理、醫學成像、計算機視覺等廣泛的行業領域。

許多示例都利用了NVIDIA的CUDA並行計算架構,這是目前最廣泛使用的大規模並行編程解決方案。

本書提供了見解和想法,以及實用的「動手能力」,您可以立即應用於實踐中。