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
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
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
CUDA
- 这是英伟达公司CUDA语言开发包中最重要的几个源文件。其中cufft是快速傅里叶变换的源文件。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序，C语言是应用最广泛的一种高级编程语言。所编写出的程序于是就可以在支持CUDA™ 的处理器上以超高性能运行。 -CUDA™ is a parallel computing platform and programming model invented
cuda-md5
- 非常好用的基于cuda的md5代码，cuda是基于GPU的编程语言，利用cuda的并行性可提高运算破解效率，但随着cuda版本的不断更新，编程环境需要自身搭建，代码需要读懂后根据版本的更新进行简单的调试。-Very good md5 code based on cuda, cuda is a programming language based on GPU, using cuda parallelism can improve the operation efficiency of crack
cuda-sha512
- 非常好用的基于cuda的sha512代码，cuda是基于GPU的编程语言，利用cuda的并行性可提高运算破解效率，但随着cuda版本的不断更新，编程环境需要自身搭建，代码需要读懂后根据版本的更新进行简单的调试。-Very good sha512 based on cuda code, cuda is a programming language based on GPU, using cuda parallelism can improve the operation efficiency of
cuda-wpa
- 非常好用的基于cuda的破解wpa代码，cuda是基于GPU的编程语言，利用cuda的并行性可提高运算破解效率，但随着cuda版本的不断更新，编程环境需要自身搭建，代码需要读懂后根据版本的更新进行简单的调试。-Very useful wpa code based on cuda, cuda is a programming language based on GPU, using cuda parallelism can improve the operation efficiency of c
cuda-nt
- 非常好用的基于cuda的破解windows NT散列的代码，cuda是基于GPU的编程语言，利用cuda的并行性可提高运算破解效率，但随着cuda版本的不断更新，编程环境需要自身搭建，代码需要读懂后根据版本的更新进行简单的调试。- Very good crack Windows NT hash code based on cuda, cuda is a programming language based on GPU, using cuda parallelism can improve
cuda-sha-256
- 非常好用的基于cuda的md5代码，cuda是基于GPU的编程语言，利用cuda的并行性可提高运算破解效率，但随着cuda版本的不断更新，编程环境需要自身搭建，代码需要读懂后根据版本的更新进行简单的调试。- Very good md5 code based on cuda, cuda is a programming language based on GPU, using cuda parallelism can improve the operation efficiency of cr
[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)
CUDA并行程序设计 GPU编程指南
- CUDA并行程序设计GPU编程指南 （Shane Cook著）苏统华 李东等译(CUDA parallel program design guide for GPU programming)
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.)