搜索资源列表
bitonic
- 基于最新一代通用GPU－－Geforce8800，在CUDA平台上开发的并行排序算法，是基于GPU的通用计算的应用程序的一个好的范例。-based on the latest generation of common GPU -- Geforce8800. CUDA platform in the development of the parallel scheduling algorithm, GPU is based on the calculation of the common appl
my_first_kernel
- cuda简单例子，适合初学者，my first kernel-cuda simple example for new learner myh first kernel
VisionWorkbench_1.1.0.5_x86
- 在计算机图像硬件上实现计算机视觉的相关算法，并使用了OpenGL及其Cg语言和CUDA，程序不错。-The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, in OpenGL and Cg and CUDA. The project provides useful example programs which run computer vision algorithms
CUDA-by-Example.-An-Introduction-to-General-Purpo
- CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology, including a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C.
1D_Test_C2C
- 1D FFT 在CUDA下的并行实现的示例应用，应用类型是复数类型到复数类型的1DFFT -The example of 1D FFT on CUDA
loadcaffe-master
- 通过caffe和matlab，实现cnn网络(supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-binding However you can't use bo