⑴ cuda编程的环境
建议还是换个显卡吧,除了NVIDIA其他都不行,就算是模拟器也不能执行,看不了结果还不是白忙活。
⑵ 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.
⑶ 有没有一本讲解gpu和CUDA编程的经典入门书籍
CUDA自带的编程手册就是最好的书籍,因为目前市场上你看到的精典书籍,对于一些架构的描述都已经过时了,怕你看完,如果对架构原理了解不透彻,反而容易误入歧途,走火入魔。
⑷ cuda编程,把CPU转到CUDA的编程,这算法有点不正确!求解
cuda是基于标准c语言的,你先把c语言的基础学好,然后动手自己写一些c语言的程序,等对c语言有一定的功底之后,再看cuda,cuda与c语言的不同之处我觉得在于那个内核函数,以及如何划分线程块和栅格的纬度和大小,以及如何实现对于线程的索引的搜索,让每一个线程处理对应的一个变量或者几个变量。
然后是cuda的一些基础的语法,这些你可以看一些简单的cuda的例子,例如矩阵相加的例子,通过这些程序的例子可以很好的理解这些语法。
⑸ cuda是什么意思
cuda
读法:
英['kuːdə]美['ku:də]
解释:
n. 奸诈而贪婪的人(等于barracuda)
n. (Cuda)人名;(塞)楚达;(意、罗)库达
用法:
NVIDIA CUDA并行运算技术 ; 计算统一设备架构
Cuda-panthaka注荼半托迦
CUDA Core流处理器
(5)cuda编程中文扩展阅读:
近义词:
crafty
读法:
英[ˈkrɑːfti]美[ˈkræfti]
解释:
adj. 狡猾的;灵巧的
用法:
Crafty Millionaire狡诈的百万富翁 ; 精明的百万富翁
Crafty Couture品牌名称
crafty sycophant奸佞
⑹ 求简单的cuda编程的程序
本人也是从新手过来的非常了解新手都在想什么,如果大家相信我,我就决不让大家失望。我会一对一的教您怎样使用,知无不言直到您满意为止。并希望与您一起在淘宝之路上一起走下去!
⑺ cuda编程
从字面上解释。。。应该是使用了太多的本地数据。。。。
使用的本地数据占了0x706c bytes
但是最大只有0x4000 bytes
希望对你有点帮助。。。。
⑻ CUDA编程
cuda的文件以.cu结尾,cpp是肯定不行的,建议你用别人样例的代码然后自己修改,这样至少这些环境配置都是对的
⑼ 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
⑽ cuda并行程序设计 gpu编程指南 pdf
这本书非常好,绝对是CUDA编程的一个必不可少的工具书。
但是我建议楼主读原着的英文版的更好一点,中文版的翻译有的地方并不准确。
下面是下载文件:
望采纳