搜索资源列表
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
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.
bandwidthTest
- gpu编程，测试gpu的运算带宽，性能分析。-GPU programming, testing GPU computing bandwidth, performance analysis.
BFS_CUDA
- 用CUDA实现BFS算法源码。CUDA是NV公司基于GPU的统一计算架构，BFS复杂度由CPU上的O(V+E)降为O(diameter)，直径diameter即图中root到leaf的最长距离。-This is the algorithm of BFS(breadth first search) on CUDA, and its time complexity is down to O(diameter) which diameter means the longest distance bet
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
cd40192
- 清华大学cuda培训教程 gpu并行算法 高清版pdf-Tsinghua University training course cuda parallel algorithm gpu HD version pdf
fft2_cuda
- 在CUDA下的FFT变换程序，可以供爱好GPU编程的参考学习。-It it the FFT transform in CUDA, and very suitable for the programer who is interested in GPU.
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
CUDAtools
- CUDA(GPU计算)开发资料，包括3份文档和一份快速开发设置工具，文档包括有CUDA环境设置，CUDA简易编程以及非常有名的深入浅出谈CUDA技术一文。-CUDA (GPU computing) development information, including three copies of the document and a set for rapid development tools, documentation including CUDA environment setting
GPU-BBSort
- 基于GPU高性能并行计算的快速排序算法，比传统CPU速度快几十倍-BBsort Method with GPUs
GPU-HMMER-0.92.tar
- GPU-HMMER-0.92.tar.gzsupport Nvidia CUDA need nvidia gpu card
GPU-parallel-optimization-algorithm
- 基于gpu的现代并行优化算法，并行传输，实现数据的高速处理-Optimization algorithm, based on modern parallel gpu parallel transmission, to achieve high-speed data processing
LSMI-GPU-CUDA
- 程序是基于GPU的CUDA架构进行通用计算的程序，程序实现的功能是阵列信号处理的波束形成，实现方法是LSMI即迭代对角加载采样矩阵求逆法,用的编程软件是vs2012-the program is based on GPU s CUDA,its function is beamform for array signal process,the method is LSMI，vs2012 is used
[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)
01_查询GPU设备
- cuda代码查询设备信息，基础实用的小例子代码(the code of cuda for querying the device)
检测CPU和GPU处理图片的时间对比
- 检测CPU和GPU处理图片的时间对比,需要拥有支持CUDA的硬件设备(Time comparison between detecting CPU and GPU processing pictures)
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.)
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.)