搜索资源列表
shared_memory_gpu
- 利用cuda进行gpu的编程，可以在NVIDIA geforce 8800以上显卡上执行。利用了它的共享内存。比在cpu上执行快的多。
texture_memory_gpu
- 利用cuda进行gpu的编程，可以在NVIDIA geforce 8800以上显卡上执行。利用了它的texture内存。比在cpu和在共享内存上执行都要快的多。
superflow
- 另外一个二维流体模拟的源码。好像使用了nvidia最新的显卡编程语言CUDA实现。
mpeg2dec
- MEPG2 dec 优化代码。 可运行于nvidia 的CUDA平台中-MEPG2 dec opt code it can running in nvidia s cuda chip
dalleyCudaPedDet
- This bundle provides the source code for the INRIA Object Detection and Localization Toolkit, with various optimizations including a CUDA port that allows most of the processing to be offloaded to a CUDA-capable NVidia graphics card for substantial s
CUDA
- Some key techonich of video codec ,using nvidia cuda .it is a gaishu of this feild.video interlacing using cuda motion vector-Some key techonich of video codec ,using nvidia cuda .it is a gaishu of this feild.
ConvolutionCUDA
- Convolution filtering is a technique that can be used for a wide array of image processing tasks, some of which may include smoothing and edge detection. In this document we show how a separable convolution filter can be implemented in NVIDIA CUD
simpleTexture
- Nvidia GPU实现的简单纹理程序，对学习CUDA技术的初学者有很强的借鉴作用-Nvidia GPU textures to achieve a simple program for beginners to learn CUDA technology, have a strong reference
volumeRenderwithCUDA
- 利用nVidia推出的CUDA平台进行的体绘制程序（光线投射算法）-a programme with the platform CUDA republiced by nVidia (ray casting)
Cloth
- visual c++ nvidia cuda realistic Cloth algortihm with other
openFaceDetection
- This code accelerate face detection using Nvidia s GPU hardware using CUDA programming interface
histogram
- CUDA decoder API from NVIDIA
cuda
- CUDA nvidia book collection
GPU_CUDA
- CUDA是Nvidia公司出的一个工具包，能对显卡进行编程，是学习图像处理进阶的好工具。-CUDA is Nvidia' s out of a kit that can be programmed on the card is a good learning tool for advanced image processing.
CUDASupercomputingMasses
- Dr Bobbs-CUDA Supercomputing for the Masses共21篇经典博客文章整理版，该系列文章为NVIDIA官方网站培训中心推荐的博文，非常值得学习GPU和CUDA编程的人看-Dr Bobbs-CUDA Supercomputing for the Masses for a total of 21 article classic blog article finishing version, this series of articles for NVIDIA s
hardware-GPU
- 里面包含目前流行的nvidia的GPU的硬件体系结构简介，对于CUDA并行编程的编写与调试会有很大帮助！-Which contains the currently popular nvidia GPU hardware architecture Introduction, for the preparation of the CUDA parallel programming and debugging will be very helpful!
fasthoglib
- Hog算子的实时GPU实现算法，基于NVIDIA CUDA的GPGPU实现。-Real-time GPU implementation algorithm of the Hog operator, based on the NVIDIA CUDA GPGPU.
ParallelMeanShift
- 使用NVIDIA CUDA在GPU上对Mean Shift跟踪算法那进行并行加速-Parallel Mean Shift Tracking on GPU using NVIDA CUDA
CUDA-Sobel-Filter-master
- This program is meant to run a sobel filter using three different methods. Each sobel filter function runs in a different way than the others, one is a basic sobel filter running through just the cpu on a single thread, another runs through openmp to
EdgeDetectorCUDA-master
- Demonstration of working implementations of the Canny, Sobel, and Roberts cross edge detection algorithms, each algorithm implemented in a CPU and a NVidia CUDA version. Written in Qt/C++.