cuda编程显卡

Ⅰ 请问CUDA编程对显卡的要求是怎么样NVIDIA那些型号的显卡可以

显卡要求见此：http://www.nvidia.cn/object/cuda_gpus_cn.html 建议：双敏 G92核心的9600GSO 384MB 192bit，此卡远比同价位的其他NVIDIA图形卡好，特别是GPU运算能力，是同价位的GT220、9500GT的数倍。但是可能缺货，还有就是功耗较高。 如果你有500块的话，就可以考虑昂达G92核心的9600GSO 384MB 192bit 或 昂达GT240 512MB GDDR5

Ⅱ cuda环境搭建必须要有nvidia(gpu)显卡吗,intel或者ati显卡可以吗

cuda环境搭建必须要有nvidia(gpu)显卡。

CUDA主要是面向Nvidia的GPU的。Nvidia也推出了CUDA X86，使CUDA代码可以由X86处理器执行，尽管这只是提高了CUDA的代码兼容性而已。Intel和AMD的显示芯片都不能进行CUDA编程。历竖

想要让cuda环境搭建在Windows8.1下搭建能利用GPU并行运算，必须有支持GPU并行运算的Nvidia显卡，且要安装CUDA，千万不要电脑上是Intel或AMD的显卡，却要编写CUDA。

(2)cuda编程显卡扩展阅读

CUDA(Compute Unified Device Architecture)，显卡厂商NVidia推出的运算平台。 CUDA™是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。

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肢宴大一种高级编程语言。

所编写出的程序于祥消是就可以在支持CUDA™的处理器上以超高性能运行。 将来还会支持其它语言，包括FORTRAN以及C++。

基于A跟N的竞争关系，A是肯定得不到专利授权的。

Ⅲ 如何使用CUDA 显卡编程

第一步 先确定你的显卡 是不是N卡（控制面板 》系统》设备管理器》显示适配器）
第二步 查看你的显卡 在不在 支持的显卡 行列 https://developer.nvidia.com/cuda-gpus点击打开链接

第三步 安装（ windows电脑中 须是 vs2008 vs2005）

CUDA Development Tools https://developer.nvidia.com/cuda-downloads点击打开链接

NVIDIA CUDA Getting Started Guide for Microsoft Windows

Introction
CUDA™ is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).
CUDA was developed with several design goals in mind:
Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation.
Support heterogeneous computation where applications use both the CPU and GPU. Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. As such, CUDA can be incrementally applied to existing applications. The CPU and GPU are treated as separate devices that have their own memory spaces. This configuration also allows simultaneous computation on the CPU and GPU without contention for memory resources.
CUDA-capable GPUs have hundreds of cores that can collectively run thousands of computing threads. These cores have shared resources including a register file and a shared memory. The on-chip shared memory allows parallel tasks running on these cores to share data without sending it over the system memory bus.
This guide will show you how to install and check the correct operation of the CUDA development tools.

System Requirements
To use CUDA on your system, you will need the following:
CUDA-capable GPU
Microsoft Windows XP, Vista, 7, or 8 or Windows Server 2003 or 2008
NVIDIA CUDA Toolkit (available at no cost from http://www.nvidia.com/content/cuda/cuda-downloads.html)
Microsoft Visual Studio 2008 or 2010, or a corresponding version of Microsoft Visual C++ Express

About This Document
This document is intended for readers familiar with Microsoft Windows XP, Microsoft Windows Vista, or Microsoft Windows 7 operating systems and the Microsoft Visual Studio environment. You do not need previous experience with CUDA or experience with parallel computation.

Installing CUDA Development Tools
The installation of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps:
Verify the system has a CUDA-capable GPU.
Download the NVIDIA CUDA Toolkit.
Install the NVIDIA CUDA Toolkit.
Test that the installed software runs correctly and communicated with the hardware.

Ⅳ cuda编程支持国产显卡吗

不支持。cuda编程目前只支持NVIDIA自己的显卡，连AMD的都没办法用更不用说国产的了。NVidia公司的显卡有GTXGeforce,Quadra和Tesla三个大系列。

Ⅳ 如何使用CUDA 显卡编程

cuda是利用gpu编程。你需要先去下一个visual
studio,然后去cuda官网下一个现在版本的cuda7.0。全部安装好后就可以编程了。cuda是并行编程，利用线程组织架构。有很多教程，你可以去看看。最好的一本书是cuda
by
example。