搜索资源列表
matrixMul_v1-2
- 利用CUDA进行矩阵相乘的运算，对已有的教程上的程序进行了改进，效率得到提高（需要设置VS才能运行）-matrix multiplication via CUDA
DIWT_CUDA
- cuda for 2D wavelet，基于cuda技术的2D小波变换。环境是vs 8.0-cuda for 2D wavelet
CudaVs2010
- cuda的开发工具套件，Cuda development tools package -Cuda development tools package
CUDA
- 利用VS 2010在cuda基础上加速来计算大型数据-With VS 2010 cuda based on large data to calculate the acceleration
bank_conflict
- cuda并行计算，bank conflict 实验，cuda入门学习优化必做实验。gpu运行，要有nvidia的显卡并装有cuda，vs才能运行此程序-cuda parallel computing，bank conflict experiment，the essential experiment of studying cuda
Ripple
- 在GPU上使用线程实现波纹效果，CUDA C编程，使用VS及CUDA平台才能运行成功-The use of threads on the GPU to achieve ripple effect, CUDA C programming, the successful use of VS and CUDA platform to run
matrix_Mul
- 在VS里cuda，矩阵相乘的源代码，希望能对初学者有所帮助-In VS cuda, matrix multiplication of the source code, hope to help beginners
Vector_Add
- 在VS的cuda环境下的向量相加的源代码，希望能对初学者有所帮助-In VS cuda environment the vector sum of the source code, hope to help beginners
matrixAssign
- 在VS的cuda中的矩阵分配源代码，希望对初学者能有所帮助-In VS cuda matrix distribution of the source code, hoping to help for beginners
simpleCUBLAS
- 在VS的cuda中的cublas源代码，希望对初学者能有所帮助-In VS cuda matrix cublas of the source code, hoping to help for beginners
simpleCUFFT
- 在VS的cuda中的傅里叶函数源代码，希望对初学者能有所帮助-In VS cuda Fourier function source code, hoping to help for beginners
cuda-matrixmul--reverse
- cuda并行计算 两基于vs实现的.cu代码 简单的实现矩阵相乘和反转。-Cuda parallel computing based on vs. Two cu code simple implementation of matrix multiplication and inversion
cuda-convnet-vs-proj
- cuda安装包，官方版的，自用方便，linux下亲测好用(Cuda installation package, the official version of the, for private use is convenient, close test under Linux)
faster_rcnn-master
- faster_rcnn的matlab试验资料，包括编译好的包，CUDA7.5，matlab2016a，VS2013(this is a good learning resource for object detection using deep learning. we use faster_rcnn algorithm and matlab coder cuda version is 7.5 VS version is 12.0 matlab version is 2016a)
kernel
- 1,使用VS创建一个工程 2，复制文件代码 3、使用内核cuda函数使用内核cuda函数调试专用(Use kernel CUDA function to use kernel CUDA function to debug special-purpose)
CUDA-Image-Encryption-master
- 利用CUDA进行并行图像加密 程序需要安装cuda 配合 VS方可运行(Using CUDA for parallel image encryption program needs to install CUDA and VS to run)