搜索资源列表
Cg_Compiler_Source2
- nVidia开发的图形语言 Cg，用于进行顶点渲染和象素渲染，语法类似于 C。-nVidia graphics development of the Cg language, used for pixel and vertex exaggerated exaggerated, similar to the C syntax.
VectorAdd
- 一个简单的基于CUDA的示例代码，使用SIMD的方法实现向量加法；运行在nVidia的G80系列显卡的GPGPU上；需要nVidia CUDA SDK，169以上版本的驱动。对于学习CUDA很有帮助。
CUDA_NVIDIA
- 3月25-27 NVIDIA 首席科学家DAVID KIRK CUDA技术讲座内容资料
CUDA_SVD
- 在nvidia G80以上GPU上进行奇异值分解的程序。
nvclock0.8b3
- 能读取/更改Nvidia显卡pll时钟信息,实现软超频的linux下源程序。
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
matrixMul
- Nvidia GPU实现的矩阵相乘的并行算法程序，对学习CUDA技术的初学者有很强的借鉴作用-Nvidia GPU implementation of parallel matrix multiplication algorithm program for beginners to learn CUDA technology, have a strong reference
AMD-APP-Docs
- AMD显卡编程的一些官方参考资料,与nVidia的cuda编程相似-reference materials on AMD APP programming
CUDA
- 学习NVIDIA公司GPU平台CUDA开发环境的好资料，可以大体上了解CUDA的运行环境和编程技巧-NVIDIA' s GPU platform to learn CUDA development environment good information, you can generally understand the CUDA runtime environment and programming skills
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
fft2d_gpu
- using NVIDIA FFT CUDA Library to solve FFT problem
SetnVIDIACardRegister
- Delphi实现对nVIDIA显卡的设置，激活其注册表中隐藏部分的功能。-Delphi to achieve nVIDIA graphics settings, activate the hidden part of the registry function.
Mars_v2
- GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by
NVIDIA_GT200
- 介绍NVIDIA s GT200 GPU的硬件架构，以及CUDA编程模型与GPU硬件实现之间的联系，是理解CUDA运行机理的一篇好文章！-The architeture of NVIDIA s GT200 GPU was Introduced in this paper, And the relationship between CUDA and GPU hardware was indicated. We could get more details of CUDA process in th
vectorAdd
- Nvidia GPU实现的向量相加程序，对学习CUDA技术的初学者有很强的借鉴作用-Nvidia GPU implementation of the vector sum process, to learn CUDA technology, have a strong reference for beginners
CudaTutorials
- GPU并行计算，cuda编程教程，硬件要求NVIDIA独立显卡。-GPU parallel computing, cuda programming tutorial, hardware requirements, NVIDIA discrete graphics.
CUDA
- 面向大学的课件，介绍NVIDIA公司GPU在CDUA平台下的编程方法，是快速进入研究计算机并行计算的优秀课件，全英文的-For university courseware to introduce NVIDIA' s GPU programming platform in CDUA method is quick access to the best of parallel computing research computer courseware, all in English
An-Introduction-to-GPGPU-Programming
- Nvidia资深工程师编写的CUDA入门书籍，非常简明清晰。是快速掌握CUDA并行计算精髓的小手册！-Nvidia CUDA senior engineers started writing the book, very clear and concise. CUDA parallel computing is to grasp the essence of the booklet!
TestOpenCl
- 刚做的OPENCL动态库，包括了测试程序。目的是用来计算矩阵运算的，目前在NVIDIA平台上运行。-This is the DLL for opencl and the test program of the DLL. Now it only run on the nvidia platform. The main object is for the matrix multiply.
CUDAdlltest
- VC++，VS2010平台上的三个CUDA dll测试程序（一个是库文件程序，另外两个是VS2010平台和VisualC++6.0平台下的测试程序，可以方便地作为CUDA dll应用程序开发的框架，为了能正确运行这些程序，请确保已经安装了NVIDIA GPU Computing SDK 4.0 及以上，并且电脑上要有NVIDIA的GPU显卡），程序均有详细的注释。文章可参考http://blog.csdn.net/menglongbor/article/details/7526493-VC++,