搜索资源列表
[GPU计算]深入浅出谈CUDA技术
- 这篇文章的特点是深入浅出，也包含了hotball本人编写一些简单CUDA程序的亲身体验，对于希望了解CUDA的读者来说是非常不错的入门文章，PCINLIFE对本文的发表没有作任何的删减，主要是把一些台湾的词汇转换成大陆的词汇以及作了若干"编者注"的注释。
GPU高性能运算之CUDA
- GPU高性能运算之CUDA 源代码
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
gpu
- 利用CUDA进行并行计算，实现两个向量的距离，能够正常运行，速度比CPU的大很多-Parallel computing using CUDA to achieve the distance of two vectors, the normal operation of the CPU speed much larger than the
ifft2_cuda
- It is the IFFT transform in CUDA, and very suitable for the programer who is interested in GPU development.
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.
histKernel
- CUDA 做直方图统计的示例，开创了GPU在图像处理中应用的先河-CUDA image histgram， can improve to image histequal
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.
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.
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
SumProductGPU.tar
- cuda product of sums algorithm on the gpu
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
cudacluster-source-1.0
- 利用NIVIDIA公司的GPU编程SDK CUDA进行聚类分析-Using CUDA for hierachy clustering taking advantages of Pararell programming
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
RayTracing
- 有关CUDA应用的实例，可以查看CPU和GPU运算的差别。-Examples of applications related to CUDA, you can view the CPU and GPU computing the difference.
OpenCL
- OpenCL详细说明，GPU编程，采用CUDA架构体系-OpenCL details specification, GPU programming