搜索资源列表
multichanneltest.zip
- 完成飛行情報區交叉可以高保真的夢想，它的大幅過濾器和線性信號階段。 but current FFT type of FIR crossover on PC loses time information of audio signal.但目前的FFT類型的FIR交叉在PC失去時間信息的音頻信號。 If you use 10ms frame, time information in 10ms are lost.如果您使用10ms幀，在10ms時間信息都將丟失。 Now nVidia CUDA G
pgicudaforug
- PGI cuda Fortran编程手册-CUDA Fortran Programming Guide and Reference
add
- CUDA 编写的 基于c的矩阵相加，适合初学者参考-CUDA prepared a matrix based on the sum c
gpusvm-0.2
- CUDA version of Support Vecotr machine classification
medianFilter_kernel
- medianFilter for cuda-medianFilter for cuda
CUDAMCML
- 于cuda的“分层”生物组织中光线追踪的程序，其计算效率相当好 需要nvidia显卡支持-ray trace in multi-layered tissue
P_cudaTest2
- 一个CUDA下的小程序 可以参考 了解-E-mail a letter to view a small program can refer to understand the
bandwidthTest
- bandwidthTest,利用CUDA实现的简单仿真，有利于大家更好的学习！-bandwidthTest, easy to use CUDA implementation of the simulation, there is conducive to better learning everyone!
cuda_mi
- cuda compute device architecture mutual information on the gpu
gha090319
- Tool for Generalized Harmonics Analysis on the gpu using cuda
EigenFace
- This is a MFC program to test Principle Component Analysis (PCA) for constructing Eigenfaces. Using train images, it calculates Eigen values and Eigen vectors with sorting. Then reconstruct test images from PCA coefficients.
binomialOptions
- This sample shows an implementation of the Black-Scholes model in CUDA for European options.
PCA_ME
- 简单的主元分析法（PCA）的代码，希望能有帮助-Simple method of principal component analysis (PCA) of the code, hoping to help
gpuqsortlib
- gpu 快速排序,利用gpu实现快速排序，是目前最有效率的一种-quick sort by gpu
Programming-AI-by-Example-Source-Code
- The objective of the book you hold in your hands is to provide a solid and practical foundation to game AI, giving you the confidence to approach new challenges with excitement and optimism. AI is an enormous topic, so don’t expect to come away
cudadevquery
- NVIDIA CUDA device query with command line build
alignedTypes
- cuda数据对齐应用实例 -cuda数据对齐应用实例cuda数据对齐应用实例
asyncAPI
- cuda异步API应用实例 可运行 -cuda异步API应用实例cuda异步API应用实例 可运行
asyncAPI
- This sample illustrates the usage of CUDA events for both GPU timing and * overlapping CPU and GPU execution.-This sample illustrates the usage of CUDA events for both GPU timing and * overlapping CPU and GPU execution.
VectorAdd
- Cuda Code add the array of 1024 elements Vactor Addition