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Description: GPU优化的小波变换,将cpu的计算移到GPU执行-the wavelet transform by GPU optimized,shift the compute of the CPU to GPU perform
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Size: 5748736 |
Author: jim |
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Description: 选自<gpu gemes 2>,用gpu实现快速傅立叶变换-From <gpu gemes 2>, using GPU for fast Fourier transform
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Size: 14603264 |
Author: 丛日昊 |
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Description: GPU深度发掘.很经典的搞GPU的文章，是学习GPU和通用计算的基础-GPU depth of excavation. Is engaged in a classic article GPU, GPU and GM learn the basis of calculation
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Size: 12288 |
Author: wjk |
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Description: 利用C++实现的KLT跟踪算法，通过GPU提高算法效率。-The use of C++ Realize the KLT tracking algorithm, through the efficiency of GPU algorithms improve.
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Size: 51200 |
Author: 小白 |
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Description: 关于GPU开发的电子书籍，很详细，非常值得研究，英文版-GPU developed on e-books, very detailed, very worthy of study, English
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Size: 26866688 |
Author: lc |
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Description: 在gpu上运行的klt算法，可以实现角点检测与跟踪-In the GPU running on KLT algorithm, can achieve corner detection and tracking
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Size: 52224 |
Author: zk |
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Description: GPU gems 2 很好的书，介绍了GPU
的一些应用，涉及面很广-GPU gems 2 very good book on the GPU for some applications, involving a wide range of
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Size: 3936256 |
Author: zzs |
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Description: GPU 粒子系统, 采用了Shader4技术,对显卡的要求很高,但视学效果非常好-GPU particle system
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Size: 577536 |
Author: starpoll |
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Description: 《GPU精粹3》的CHM版电子书，可编程实时图形学-" GPU Pristine 3" version of the CHM eBook, programmable real-time graphics
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Size: 26866688 |
Author: dsfws |
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Description: 基于GPU的视点相关自适应细分文档，最新开发过程-GPU based on the view-dependent adaptive subdivision
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Size: 733184 |
Author: zidane |
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Description: 现在gpu正是大行其道的时候，我们来介绍一下gpu的功能吧-that s very good for you to use
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Size: 2229248 |
Author: gou |
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Description: GPU Gems 3英文版，全文，电子书格式-GPU Gems 3 in English, full text e-book format
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Size: 26866688 |
Author: wang gang |
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Description: gpu编程书籍 并行计算机导论
对gpu编程者有很大的帮助-Parallel gpu computer programming books An Introduction to Programming on the gpu are of great help
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Size: 3098624 |
Author: 伍天 |
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Description: 采用GPU通用计算API（CUDA）实现矩阵相乘-The use of general-purpose GPU computing API (CUDA) to achieve the matrix multiplication
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Size: 16384 |
Author: 钟玲 |
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Description: 近年来，计算机图形处理器(GI．apllics Processing Unit,GPU)得到了极大地发展，从最初局限于图形渲染的图形卡，发展为如今可编程的并行计算平台。与CPU的串行计算模式不同，GPU是一种高度并行的流处理器，具有更强的浮点计算能力，在物理模拟、信号分析等许多领域人们将高强度的计算任务以适当的方式转化为流数据计算模式，通过编程在GPU中进行加速计算，通常能获得一个数量级的速度提高，这也是当今的热点研究问题之一。-In recent years, computer graphics processor (GI.apllics Processing Unit, GPU) has been greatly developed, from the initial limited to graphics rendering of the graphics card, development of a programmable parallel computing platform today. Serial computing model with the CPU difference, GPU is a highly parallel stream processors, with more floating-point computing power, in the physical simulation, signal analysis and many other areas that people will be high-strength computing tasks in an appropriate way into computing model for the flow of data through the program carried out in the GPU to accelerate the calculation, usually can get an order of magnitude faster, which is one of today' s hot research issues.
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Size: 11227136 |
Author: liaozw |
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Description: 本文详细分析了Tesla GPU图形与计算架构和CUDA统一计算设备架构，详细描述了如何对计算任务进行并行分解，并通过CUDA的双层并行编程模型映射到Tesla GPU上。 在本文的实现部分，以软件开发流程为主线，描述了如何利用CUDA实现模式识别中的三种常用算法-The paper analyzed the Tesla GPU computing architecture and CUDA graphics and computing devices unified architecture, a detailed description of how parallel computing tasks broken down and through the double CUDA parallel programming model is mapped to the Tesla GPU. In the implementation section of this article, the main line to the software development process, describes how to use CUDA to achieve the three commonly used pattern recognition algorithms
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Size: 2955264 |
Author: 逍遥 |
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Description: 给出了GPU的最新快照，详细描述了当今最新的GPU的内部架构，以及如何利用GPU的编程技巧。另外额外探讨了如何利用GPU的计算能力完成其他计算任务（CUDA）。-This third volume of the best-selling GPU Gems series provides a snapshot of today s latest Graphics Processing Unit (GPU) programming techniques. The programmability of modern GPUs allows developers to not only distinguish themselves from one another but also to use this awesome processing power for non-graphics applications, such as physics simulation, financial analysis, and even virus detection—particularly with the CUDA architecture. Graphics remains the leading application for GPUs, and readers will find that the latest algorithms create ultra-realistic characters, better lighting, and post-rendering compositing effects.
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Size: 26866688 |
Author: 闫煜 |
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Description: GPU概述与研究
方便计算机图形学和游戏开发者研究-for game programer to study GPU
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Size: 11751424 |
Author: daxiao |
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Description: GPU编程学习资料 CUDA 对新手和gpu编程有很大帮助-the material of GPU programming
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Size: 1957888 |
Author: 董绍辉 |
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Description: 一些GPU学习资料， 一些GPU学习资料-Some GPU learning materials, some GPU learning materials, learning materials some of GPU
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Size: 11009024 |
Author: 小南 |
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