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Description: 利用CUDA基于GPU编程，立体匹配的源程序。比单独给予CPU提高20倍速度
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Size: 410524 |
Author: kaven_sdu |
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Description: This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably modern vintage.
BUILDING INSTRUCTIONS: Change the 'MATLAB' (and if necessary, 'MEX') variables in the Makefile to appropriate values, then simply run 'make' at a prompt and an executable (mex/mexmac/mexmaci/dll?) file will be created.
This code uses your GPU's built-in bilinear texture interpolation capability, and is very fast. For reasonably sized operations (taking, say, a 50x50 matrix up to 1000x1000) CUDA-based code is 5-10x faster than linear interp2 (as tested on a MBP 2.4GHz C2D, GeForce 8600M GT).
With very (VERY) large matrices, however, it has the capability of completely crashing your computer or giving bizarre results. Be careful!
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Size: 37881 |
Author: whitewalter |
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Description: GPU的经典算法，用于编写较高质量的程序作参考。-GPU classic algorithms, used in the preparation of high quality procedures for reference.
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Size: 4096 |
Author: 陈东 |
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Description: NVIDIA表示，《GPU Gems 3》的目的是让“软件开发和科学研究人员充分挖掘GPU的并行运算潜力”，同时其中描述的技术还能帮助游戏开发人员“创造极其逼真的人物角色、更好的光照效果和粘贴渲染合成效果”，并增强“金融模拟、金融分析，甚至病毒检测，尤其是NVIDIA CUDA编程架构”等非图形类应用。-NVIDIA said,
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Size: 26866688 |
Author: 陈亮 |
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Description: 基于nvidia CUDA架构的BP神经网络程序，在G80,G92 GPU上可以完成BP神经网络训练。速度较双核CPU提高十倍-Nvidia CUDA architecture based on BP neural network procedures, G80, G92 GPU to be completed on BP neural network training. Faster than dual-core CPU times improve
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Size: 155648 |
Author: 樟树 |
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Description: md5_cuda编程，主要是针对GPU加速-md5_cuda programming is targeted at the GPU to accelerate the
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Size: 31744 |
Author: 张宏 |
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Description: 文章介绍如何使用CUDA实现神经网络，并把他应用在GPU图像处理单元上-The article describes how to use CUDA to achieve neural networks, and he applied to image processing unit on the GPU
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Size: 1398784 |
Author: 杨 |
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Description: 基于NVIDIA CUDA GPU计算开发环境的双目视觉匹配程序，用于立体视觉的识别，同时可用于三维重建。主要算法在显卡上进行，需要NVIDIA的支持CUDA的显卡-NVIDIA CUDA GPU-based computing development environment to match the binocular vision procedures, for three-dimensional visual recognition, can be used for three-dimensional reconstruction at the same time. Graphics on the main algorithm, and the need to support NVIDIA' s CUDA cards
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Size: 1789952 |
Author: 远航 |
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Description: cuda sdk 开发的中文入门指导，cuda 是 gpu并行程序开发的重要技术，在未来几年有很好的发展前景-cuda programming guide
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Size: 3529728 |
Author: 陈圣克 |
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Description: GPU加速jpeg图像编码，利用CUDA架构的GPU进行加速-GPU accelerating image compression using CUDA-enable GPU
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Size: 4794368 |
Author: wangweiming |
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Description: 深入浅出谈CUDA——一种新的GPU编程工具-Easy to talk about CUDA- a new kind of GPU programming tools
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Size: 799744 |
Author: gaoli |
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Description: CUDA编程的中文参考文档，有助于学习GPU编程。-Chinese CUDA programming reference documentation, contribute to learning GPU programming.
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Size: 1031168 |
Author: gupipi |
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Description: Nvidia CUDA超大规模并行程序设计训练课程
By清华大学微电子学研究所-Nvidia CUDA parallel programming ultra-large-scale training courses By Institute of Microelectronics, Tsinghua University
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Size: 6644736 |
Author: 歪歪 |
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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: 伊利诺伊州立大学胡文美教授授课的关于GPU高性能计算的ppt（2）-Illinois State University Professor Hu Wenmei to teach high-performance computing on the GPU ppt
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Size: 100352 |
Author: 乌鸦 |
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Description: GPU CUDA的经典算法，基于shared memory进行矩阵的相乘运算-GPU CUDA classical algorithm, based on shared memory for matrix multiplication by
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Size: 17408 |
Author: Danny |
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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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Description: GPU CUDA C并行编程是计算机实现并行高速计算的强大方式，本资料将引领你进入这个神奇的世界-GPU CUDA C parallel programming is a powerful way to achieve parallel high-speed computer, this information will lead you into the magic of the world
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Size: 44877824 |
Author: 王KK |
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Description: 关于CUDA编程的高性运算源码，GPU编程方面的不错的资料。(CUDA High performance source code)
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Size: 5520384 |
Author: albertyth
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Description: 利用gpu加速提高计算速度，节约计算时间，cuda从c语言进行的扩展 ，编程方便(Parallel acceleration)
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Size: 8192 |
Author: 远山有灯
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