搜索资源列表
Coding
- project name:- parallel implementation of AES algorithm using GPU AES algorithm is implementated in C++ AES algorithm is implementated in Compute Unified Device Architecture (CUDA library devloped by NVIDIA)
tombat
- GPU high performance 能编程CUDA实战,示例代码-CUDA GPU can high performance programming of actual combat, the sample code
SupportCUDA
- 这是基于VC的一个关于CUDA GPU程序，检测显卡是否支持CUDA编程，对初学者很有帮助。-This is a program detecting the Graphics kard supporting the CUDA or not。
peayormance-sample-can
- GPU high performance 能编程CUDA实战,示例代码-CUDA GPU can high performance programming of actual combat, the sample code
notepadPPcuda_config
- notepad++中cuda代码的高亮显示配置文件 喜欢轻量级编辑器的GPU代码开发者可能会用到，notepad++7.3.3上经过实测-the config file for cuda in the editor notepad++
rozoeu
- GPU high performance 能编程CUDA实战,示例代码-CUDA GPU can high performance programming of actual combat, the sample code
GPUBarCode
- 这是在Matlab软件平台下的 GPU程序，用最近邻域双线性插值算法填补图像中缺失区域，是并行运算处理，使用CUDA来编写程序。(This is the GPU program under the Matlab software platform, and the nearest neighborhood bilinear interpolation algorithm to fill the missing areas in the image is parallel processing,
polar_BP_decoder.cu
- 本代码是基于GPU的polar码BP并行译码，主要完成基于GPU的并行译码功能，开发语言为CUDA C。(BP parallel decoding of polar codes based on GPU)
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
kdtcaqh
- GPU high performance 能编程CUDA实战,示例代码(CUDA GPU can high performance programming of actual combat, the sample code)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
ZAKHA0
- GPU high performance 能编程CUDA实战,示例代码()
lhmvszz
- GPU high performance 能编程CUDA实战,示例代码()
vrcro
- GPU high performance 能编程CUDA实战,示例代码()
CUDA是NVIDIA发布的GPU上的并行计算平台和模型
- 当前支持各种各样的操作系统，包含Windows，Linux
GPU_LDPC+硕士毕设论文详解
- QC LDPC的编码译码 代码与论文配套 是研究生毕设 可运行 代码风格优秀(QC LDPC Coding and Decoding Code and Paper Matching are Excellent Style of Running Code for Graduate Students)
弹性波全波形反演代码和可执行程序
- 实现单GPU二维弹性波全波形反演，采用c++和CUDA c编写，VS2013开发。