搜索资源列表
CUDA_VS2010
- GPU并行计算，cuda编程在VS2010平台上的配置。系统要求：windows 7，cuda 4.0（toolkit、SDK），VS2010.-GPU parallel computing, cuda programming in VS2010 platform configuration. System Requirements: windows 7, cuda 4.0 (toolkit, SDK), VS2010.
MultiDevice
- 在学习CUDA GPU并行编程时写的，用于将应用分布到多个GPU设备进行处理的通用代码。-This program is finished when I was learning CUDA GPU parallel programming. It deploys the applications to multiple GPU devices and can be used in many environments.
MatrixMulTexture_kernel
- 基于GPU的并行编程，采用纹理实现两个矩阵相乘。自己写的程序。-This is a parallel program based GPU,which achieved two matrix multiplication with texture.It is mine.
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
gpu
- gpu编程书籍 并行计算机导论 对gpu编程者有很大的帮助-Parallel gpu computer programming books An Introduction to Programming on the gpu are of great help
cuda-GPU
- 本文详细分析了Tesla GPU图形与计算架构和CUDA统一计算设备架构，详细描述了如何对计算任务进行并行分解，并通过CUDA的双层并行编程模型映射到Tesla GPU上。 在本文的实现部分，以软件开发流程为主线，描述了如何利用CUDA实现模式识别中的三种常用算法-The paper analyzed the Tesla GPU computing architecture and CUDA graphics and computing devices unified architecture,
reverseArray_multiblock
- 在linux下，用gpu实现对矩阵转置的并行编程-In linux, with the gpu to achieve the matrix transpose of parallel programming
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.
opencl-parallel-programing
- opencl 并行编程，针对GPU进行并行编程。是一本入门级的并行编程教程。-opencl parallel programing for GPU
hardware-GPU
- 里面包含目前流行的nvidia的GPU的硬件体系结构简介，对于CUDA并行编程的编写与调试会有很大帮助！-Which contains the currently popular nvidia GPU hardware architecture Introduction, for the preparation of the CUDA parallel programming and debugging will be very helpful!
CUDA-programming
- 此文档讲述的事CUDA编程的基础技术，对于基于GPU 的并行编程入门学者有帮助-This document is about the basis of the CUDA programming technology, entry scholars for GPU-based parallel programming
CUDA
- GPU并行计算及CUDA编程相关资料，都是从网上搜集过来的-GPU parallel computing and CUDA programming data are collected from the Internet over the
CUDA4.0-Function-library
- GPU并行开发，要先安装cuda工具包，再在visual studio2005上可以运行。里面有CUBLAS_Library，CUBLAS_Library函数库，还有一些编程书籍，优化。-GPU parallel development, first install cuda toolkit can run visual studio2005. CUBLAS_Library, CUBLAS_Library library, there are some programming books, an
AMP-Demo-master
- 用C++ AMP进行并行编程的例子，可以用GPU对程序进行优化编程。-Using C++ AMP programe the parallel programme, which uses the GPU kernel for optimizing the programme.
[GPU-CUDA--C-Programming]
- GPU CUDA C并行编程是计算机实现并行高速计算的强大方式，本资料将引领你进入这个神奇的世界-GPU CUDA C parallel programming is a powerful way to achieve parallel high-speed computer, this information will lead you into the magic of the world
MatlabCuda
- 自己写的GPU并行程序和MATLAB 平台混合调用，适合初学者学习MATLAB 和GPU的并行编程(Write their own GPU parallel program and MATLAB platform mixed call, suitable for beginners to learn MATLAB and GPU parallel programming)
GPU高性能编程CUDA实战中文版
- 并行计算新手入门书籍，分析的简单透彻，实例举一反三，CUDA入门的好书(Parallel computing novice entry books, analysis of simple and thorough, examples of drawing inferences from others, CUDA entry of good books)
GPU并行编程讲义
- 基于GPU并行计算基础讲义，为程序猿打开基于GPU编程的大门(Based on GPU parallel computing basic lecture, opens the gate for GPU programming based on program ape.)
32679--GPU高性能编程CUDA实战—示例代码
- 本资料是GPU高性能编程CUDA实战—示例代码，非常完整，非常适合学习与模仿，都相应的完成书中的算法和详细的并行代码编写过程。(This data is GPU high performance programming CUDA real - example code, very complete, very suitable for learning and imitation, the corresponding completion of the book algorithm and de
GPU高性能编程CUDA实战—示例代码
- 结合GPU高性能编程，提供实战样例程序，包含矩阵乘法，原子操作，热传导，多GPU，多流的代码(Combined with GPU high performance programming, it provides actual sample program, including matrix multiplication, atomic operation, heat conduction, multi GPU, and multi stream code.)