搜索资源列表
ANeuralNetworkonGPU.rar
- CUDA应用：在CUDA上实现神经网络，识别手写数字,the implementation of a neural network with CUDA. Neural Network for Recognition of Handwritten Digits
CUDA-Best-Practices-Guide-v2.3
- CUDA GPU高性能计算少见的好书，由NVIDA出版-High-performance computing CUDA GPU rare books, published by the NVIDA
cuda-memcheck-handbook-4.0cn
- CUDA调试工具cuda-gdb，包含一个可以在CUDA中检测和调试内存错误的内存检查特性。该文档描述了这个名为cuda-memcheck的工具与它的功能。 NVIDIA用它强大的cuda-gdb硬件调试器简化了CUDA程序错误的调试。然而，每个程序员总会遇到难以检测到的内存相关错误，并花大量时间去调试。当处理上千条线程时，内存相关的错误的数量会明显增加。cuda-memcheck就是设计用来检测你的CUDA程序中这种内存存取错误的工具。-CUDA debugging tool cud
Exercises.zip
- cuda基本程序：矩阵转置的较优实现等 ,basic code for cuda
matrixMul
- GPU CUDA的经典算法，基于shared memory进行矩阵的相乘运算-GPU CUDA classical algorithm, based on shared memory for matrix multiplication by
H.264CUDA
- 使用CUDA进行H264编码的经典文章：H.264 ME implementation on CUDA，值得推荐学习。-H264 encoded using CUDA for classic article: H.264 ME implementation on CUDA, worth recommending to learn.
nbody
- N-Body 利用cuda的模拟 Fast N-Body Simulation with CUDA-Fast N-Body Simulation with CUDA
MonteCarlo
- 采用GPU通用计算API（CUDA）实现蒙特卡罗方程。-The use of general-purpose GPU computing API (CUDA) the realization of the Monte Carlo equation.
CUDA-programm
- 包含《GPU高性能运算之CUDA》书中的所有源代码。-Include "GPU computing performance of CUDA" the book of all source code.
MFC_CUDA
- 如何在MFC中调用CUDA,环境： Windows Vista SP1,Microsoft Visual Studio 2005,CUDA 2.0 步骤：1.创建一个对话框的MFC程序 -How to call MFC CUDA, Environment: Windows Vista SP1, Microsoft Visual Studio 2005, CUDA 2.0: 1. Create a MFC dialog box program
CUDA-example
- 包括矩阵相乘，转置，快速傅里叶变换，多GPU编程等23个实例-Including matrix multiplication, transposition, fast Fourier transform, multi-GPU programming in 23 instances
asyncAPI
- CUDA开发计算，异步计算接口。可以在主机与现存之间异步执行。来自NVIDIA SDK-CUDA development of computing, asynchronous computing interface. Can be asynchronous between the host and the existing implementation. From the NVIDIA SDK
NVIDIA_CUBLAS_1.1
- Nividia提供的CUDA的BLAS库源码，可以在GPU上运行BLAS函数-Nividia provided CUDA source code of the BLAS library, you can run GPU function BLAS
matrixMul
- 采用GPU通用计算API（CUDA）实现矩阵相乘。-The use of general-purpose GPU computing API (CUDA) to achieve the matrix multiplication.
ComputeTime
- 基于NV的CUDA（计算统一构架）的一段程序，示例如何在显卡的GPU上进行并行平方和运算，代码思路清晰，易于理解。-NV based on the CUDA (calculated unified framework) period of procedures, examples of how the GPU graphics cards on the square and parallel computing, code clear and easy to understand.
CUDA.tar
- 利用格子波尔兹曼方法求解三维流体问题，利用CUDA加速迭代过程。是单个CPU运算速度的20倍。(Here we use the Lattice Boltzmann Method to solve a problem of 3D fluid dynamics with the help of CUDA. It is 20 times the speed of a single CPU operation.)
CUDA by Example (2010)
- 经典的cuda编程书籍，是并行计算开发的必读之作(classic cuda book for learning paralell programming)
CUDA+Programming
- CUDA编程学习,加油我看好你哟，一定要加油(the book of learning CUDA)
simulink&&CUDA
- 利用simulink的自动生成代码功能生成代码后，在VC2013上进行编译，然后调用CUDA程序(After generating code from Simulink's automatic generation of code, compiling on VC2013, then calling the CUDA program)
CUDA book(2018)
- CUDA GPU 并发编程开发 Tolga Soyata 的书((Chapman & Hall_CRC Computational Science) Tolga Soyata-GPU Parallel Program Development Using CUDA-Chapman and Hall_CRC (2018))