cuda編程顯卡

Ⅰ 請問CUDA編程對顯卡的要求是怎麼樣NVIDIA那些型號的顯卡可以

顯卡要求見此：http://www.nvidia.cn/object/cuda_gpus_cn.html 建議：雙敏 G92核心的9600GSO 384MB 192bit，此卡遠比同價位的其他NVIDIA圖形卡好，特別是GPU運算能力，是同價位的GT220、9500GT的數倍。但是可能缺貨，還有就是功耗較高。 如果你有500塊的話，就可以考慮昂達G92核心的9600GSO 384MB 192bit 或 昂達GT240 512MB GDDR5

Ⅱ cuda環境搭建必須要有nvidia(gpu)顯卡嗎,intel或者ati顯卡可以嗎

cuda環境搭建必須要有nvidia(gpu)顯卡。

CUDA主要是面向Nvidia的GPU的。Nvidia也推出了CUDA X86，使CUDA代碼可以由X86處理器執行，盡管這只是提高了CUDA的代碼兼容性而已。Intel和AMD的顯示晶元都不能進行CUDA編程。歷豎

想要讓cuda環境搭建在Windows8.1下搭建能利用GPU並行運算，必須有支持GPU並行運算的Nvidia顯卡，且要安裝CUDA，千萬不要電腦上是Intel或AMD的顯卡，卻要編寫CUDA。

(2)cuda編程顯卡擴展閱讀

CUDA(Compute Unified Device Architecture)，顯卡廠商NVidia推出的運算平台。 CUDA™是一種由NVIDIA推出的通用並行計算架構，該架構使GPU能夠解決復雜的計算問題。

它包含了CUDA指令集架構（ISA）以及GPU內部的並行計算引擎。 開發人員現在可以使用C語言來為CUDA™架構編寫程序，C語言是應用最廣泛的肢宴大一種高級編程語言。

所編寫出的程序於祥消是就可以在支持CUDA™的處理器上以超高性能運行。 將來還會支持其它語言，包括FORTRAN以及C++。

基於A跟N的競爭關系，A是肯定得不到專利授權的。

Ⅲ 如何使用CUDA 顯卡編程

第一步 先確定你的顯卡 是不是N卡（控制面板 》系統》設備管理器》顯示適配器）
第二步 查看你的顯卡 在不在 支持的顯卡 行列 https://developer.nvidia.com/cuda-gpus點擊打開鏈接

第三步 安裝（ windows電腦中 須是 vs2008 vs2005）

CUDA Development Tools https://developer.nvidia.com/cuda-downloads點擊打開鏈接

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編程支持國產顯卡嗎

不支持。cuda編程目前只支持NVIDIA自己的顯卡，連AMD的都沒辦法用更不用說國產的了。NVidia公司的顯卡有GTXGeforce,Quadra和Tesla三個大系列。

Ⅳ 如何使用CUDA 顯卡編程

cuda是利用gpu編程。你需要先去下一個visual
studio,然後去cuda官網下一個現在版本的cuda7.0。全部安裝好後就可以編程了。cuda是並行編程，利用線程組織架構。有很多教程，你可以去看看。最好的一本書是cuda
by
example。