搜索资源列表
timing
- cuda中很多时间都需要知道算法的运行时间，此程序实现了这一功能。-cuda need to know a lot of time in running time, this procedure to achieve this functionality.
boxFilter
- Box Filter Using CUDA For The 2D Images
fluidsGL
- CUDA Fluid Simulation Using N-S Equ
oceanFFT
- CUDA FFT : The Simulation Of The Surface Of The Ocean Using The FFT Algorithm
cudabyexample
- CUDAby 恶心example 适用于新手的CUDA入门书籍，很全-CUDAby nausea CUDA example entry for the novice book, it is all
Convolucao_2D
- Image convolution with CUDA. You need a Nvidia Cuda enabled video card and the Cuda toolkit and SDK
cuda_txcl
- 基于CUDA的高性能图像处理算法。着重介绍CPU和CUDA的计算能力，并详细介绍图像处理的背景以及几种操作的原理。在经过实验之后，对比CPU的计算能力可以发现，CUDA在并行处理数据的能力非常强大。由此可知，在图像处理的应用中，CUDA将大有可为。然而Hough变换的性能提升并不明显，其中的原子操作导致线程的排队，大幅度降低了线程并发性能，从而使得CUDA并行运算的优点不能显示出来，此问题的解决，有赖于对Hough变换并行算法的更深入研究。-CUDA-based high-performance
cuda_by_example
- cuda by example 是一些CUDA程序的例子，很有用，适合正在学习CUDA的朋友。-cuda by example are some examples of CUDA programs, useful for studying CUDA friends.
Thermal
- Solving equations of heat transfer with CUDA
CUDAProgrammingGuide
- CUDA编程手册2.0 NVIDIA公司于2007年正式发布CUDA（ompute Unified Device Architecture，计算统一设备架构）是第一种不需要借助图形学API就可以使用类C语言进行通用计算的开发环境和软件体系-CUDA Programming Guide 2.0 NVIDIA officially launched the company in 2007 CUDA (ompute Unified Device Architecture, Compute Unif
CUDA_ImgProcessing
- 基于CUDA的图像处理例子，可以方便大家学习使用 -Image processing based on CUDA
CUDA-Parallel-Programming-Tutorial
- CUDA programming Tutorial
openFaceDetection
- This code accelerate face detection using Nvidia s GPU hardware using CUDA programming interface
Gpucv
- This sample code to calclate the optical flow. This program use the opencv and Gpucv. Gpucv is cuda program adapting opencv.-This is sample code to calclate the optical flow. This program use the opencv and Gpucv. Gpucv is cuda program adapti
particles
- cuda的粒子模拟，非常的逼真,可以控制粒子箱旋转，来观察粒子的运动效果。-cuda based partical simulation, very realistic，you can contral the box which include the particals and watch the motion of the particals.
GPU-Gems3
- 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
SiftGPU-V370
- 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual-SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU th
POSIX-Threads-and-NVIDIAs-CUDA
- Introducing multithreaded programming POSIX Threads and NVIDIA s CUDA
CUDA-imization
- CUDA稀疏矩阵与矢量乘法的优化CUDA-based sparse matrix vector multiplication optimization-CUDA-based sparse matrix vector multiplication optimization
MatrixMul
- an example of matrix multipication on cuda GPU