⑴ cuda編程的環境
建議還是換個顯卡吧,除了NVIDIA其他都不行,就算是模擬器也不能執行,看不了結果還不是白忙活。
⑵ 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.
⑶ 有沒有一本講解gpu和CUDA編程的經典入門書籍
CUDA自帶的編程手冊就是最好的書籍,因為目前市場上你看到的精典書籍,對於一些架構的描述都已經過時了,怕你看完,如果對架構原理了解不透徹,反而容易誤入歧途,走火入魔。
⑷ cuda編程,把CPU轉到CUDA的編程,這演算法有點不正確!求解
cuda是基於標准c語言的,你先把c語言的基礎學好,然後動手自己寫一些c語言的程序,等對c語言有一定的功底之後,再看cuda,cuda與c語言的不同之處我覺得在於那個內核函數,以及如何劃分線程塊和柵格的緯度和大小,以及如何實現對於線程的索引的搜索,讓每一個線程處理對應的一個變數或者幾個變數。
然後是cuda的一些基礎的語法,這些你可以看一些簡單的cuda的例子,例如矩陣相加的例子,通過這些程序的例子可以很好的理解這些語法。
⑸ cuda是什麼意思
cuda
讀法:
英['kuːdə]美['ku:də]
解釋:
n. 奸詐而貪婪的人(等於barracuda)
n. (Cuda)人名;(塞)楚達;(意、羅)庫達
用法:
NVIDIA CUDA並行運算技術 ; 計算統一設備架構
Cuda-panthaka注荼半托迦
CUDA Core流處理器
(5)cuda編程中文擴展閱讀:
近義詞:
crafty
讀法:
英[ˈkrɑːfti]美[ˈkræfti]
解釋:
adj. 狡猾的;靈巧的
用法:
Crafty Millionaire狡詐的百萬富翁 ; 精明的百萬富翁
Crafty Couture品牌名稱
crafty sycophant奸佞
⑹ 求簡單的cuda編程的程序
本人也是從新手過來的非常了解新手都在想什麼,如果大家相信我,我就決不讓大家失望。我會一對一的教您怎樣使用,知無不言直到您滿意為止。並希望與您一起在淘寶之路上一起走下去!
⑺ cuda編程
從字面上解釋。。。應該是使用了太多的本地數據。。。。
使用的本地數據佔了0x706c bytes
但是最大隻有0x4000 bytes
希望對你有點幫助。。。。
⑻ CUDA編程
cuda的文件以.cu結尾,cpp是肯定不行的,建議你用別人樣例的代碼然後自己修改,這樣至少這些環境配置都是對的
⑼ 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
⑽ cuda並行程序設計 gpu編程指南 pdf
這本書非常好,絕對是CUDA編程的一個必不可少的工具書。
但是我建議樓主讀原著的英文版的更好一點,中文版的翻譯有的地方並不準確。
下面是下載文件:
望採納