blocks|key|1792442|text|如上所述，您不能使用远程桌面。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1792443|相反，您可以使用VNC客户端，例如Splashtop+Remote+Desktop，它是免费的。|offset|length|1792444|entityMap|0|LINK|mutability|MUTABLE|url|http://www.splashtop.com/remote/desktop4windows/download^0|0|H|O|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

As said, you cannot use remote desktop.

Instead, you can use a VNC client such as <a href="http://www.splashtop.com/remote/desktop4windows/download" rel="nofollow noreferrer">Splashtop Remote Desktop</a>, it is free.

blocks|key|1792425|text|据我所知，没有办法在远程桌面上使用cuda。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1792426|远程桌面不允许访问您的图形卡。它的工作方式更像是一个可视化的远程shell。远程桌面被简单地告知哪些gui元素是可见的。渲染在您的笔记本电脑上进行。|1792427|像VNC或TeamViewer这样的东西可能会起作用，因为VNC实际上发送的是屏幕上的内容。|1792428|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

As far as I know there is no way to use cuda with remote desktop.

Remote desktop does not allow to access your graphics card.
It works more like a visual remote shell. Remote desktop is simply told what gui elements are visible.
The rendering takes place on your laptop.

Something like VNC or TeamViewer might work because VNC actually sends what is on the screen.

blocks|key|128313|text|您可以使用rCUDA。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|128314|http://www.gap.upv.es/rCUDA|offset|length|128315|CUDA支持远程并发使用rCUDA兼容设备。|128316|rCUDA使用socket+API来实现客户端和服务器之间的通信。因此，它在三种不同的环境中都很有用:集群。减少安装在高性能群集中的GPU数量。这导致了GPU使用量的增加和能源节省，以及其他相关的节省，如采购成本，维护，空间，冷却等学术界。在商用网络中，为许多学生提供对几个高性能GPU的并发访问。虚拟机。以启用对物理计算机上的CUDA工具的访问。|128317|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|R|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@$D|S|E|T|1|U]]|A|$]]|$1|F|3|G|5|6|7|V|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|W|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|X|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|C]]]]

You may use rCUDA .

<a href="http://www.gap.upv.es/rCUDA" rel="nofollow">http://www.gap.upv.es/rCUDA</a>

The rCUDA Framework enables the concurrent usage of CUDA-compatible devices remotely.

rCUDA employs the socket API for the communication between clients and servers. Thus, it can be useful in three different environments:
Clusters. To reduce the number of GPUs installed in High Performance Clusters. This leads to increase GPUs use and to energy savings, as well as other related savings like acquisition costs, maintenance, space, cooling, etc. 
Academia. In commodity networks, to offer access to a few high performance GPUs concurrently to many students. 
Virtual Machines. To enable the access to the CUDA facilities on the physical machine.

blocks|key|1792555|text|我使用Windows远程桌面连接到Amazon的HPC实例。我可以在那里运行基于CUDA的代码，没有问题。因此，通过Windows远程桌面连接访问GPU在技术上是可行的。我不知道亚马逊的做法有什么不同。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1792556|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I use Windows Remote Desktop to connect to Amazon's HPC instances. I can run CUDA-based code there without problem. So, it is technically possible to access GPU's through a Windows Remote Desktop connection. I have no idea what Amazon is doing differently.

blocks|key|128604|text|您可以安装Nvidia驱动程序v353.06并通过RDP使用CUDA。它适用于我和我在Windows7+x64上的GTX680。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|128605|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

You can install Nvidia Driver v353.06 and use CUDA over RDP. It works for me and my GTX 680 on Windows 7 x64.

blocks|key|128324|text|除非您使用的是Windows，否则SSH将是一个很好的选择。如果您使用集成开发环境或要在文本编辑器中使用鼠标，则在运行CUDA时仍支持X11转发。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|128325|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Unless you're using Windows, SSH would be a good option. If you use an IDE or want to use the mouse in your text editor, X11 forwarding is still supported while running CUDA.

blocks|key|3692907|text|实际上，远程桌面应用程序根本不允许您访问显卡，这是出于速度考虑:您连接的设备不执行渲染，而您连接的设备(在您的情况下是笔记本电脑)执行此操作。结果，CUDA程序突然看不到任何支持CUDA的设备，并返回各种奇怪的东西。(我发现我的测试程序并不总是为设备计数返回0，而是所有类型的随机数据，cudaGetDeviceProperties也是如此。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3692908|我发现LogMeIn是一个完美的，免费的，跨平台的，在我看来要好得多的选择。使用这个应用程序，渲染都是在你连接的设备上完成的，基本上每一帧都会通过网络发送一个屏幕截图。所以简而言之:它的工作方式与您期望的远程桌面工作方式相同。|3692909|entityMap|0|LINK|mutability|MUTABLE|url|https://secure.logmein.com/^0|3Z|N|0|3|7|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@$9|Q|A|R|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|S|8|@]|D|@$9|T|A|U|1|V]]|E|$]]|$1|H|3|-4|5|6|7|W|8|@]|D|@]|E|$]]]|I|$J|$5|K|L|M|E|$N|O]]]]

Indeed the Remote Desktop application doesn't allow you to access the graphics card at all, which is done for speed considerations: the device you're connected to doesn't do the rendering, the device you connect with (in your case a laptop) does this. As a result, CUDA programmes suddenly don't see any CUDA enabled device and return all sort of strange stuff. (I found that my test programmes don't always just return 0 for the device count, but all sort of random data, and so does <code>cudaGetDeviceProperties</code>.

A perfect, free, cross-platform, and in my opinion much better alternative I found is <a href="https://secure.logmein.com/" rel="nofollow">LogMeIn</a>. With this application, the rendering is all done on the device you're connected to, and basically a screenshot is sent over the network every frame. So in short: it works like you would expect a remote desktop to work.

blocks|key|128254|text|您不能这样做，因为在使用远程桌面时，显示器未连接到显卡。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|128255|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

You cannot do that as the display is not connected to the video card when using remote desktop.

I am connecting to my desktop which has an Nvidia card (CUDA compatible) using remote desktop connection.

I am doing this because I currently don't have a monitor! Therefore I am temporary using my laptop to connect to my desktop and run my CUDA code.

It seams that remote desktop does not recognize the Nvidia card.
<code>cudaGetDeviceCount()</code> is returning a very big number. I only have 1 Nvidia 460 on my PC.

How can I solve this issue? Should I use other remote software?

How to Run a cuda code using remote Desktop?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我正在使用远程桌面连接连接到具有Nvidia卡(兼容CUDA)的台式机。我之所以这样做，是因为我目前没有显示器！因此，我暂时使用笔记本电脑连接到桌面并运行CUDA代码。它认为远程台式机无法识别Nvidia卡。cudaGetDeviceCount()返回一个非常大的数字。我的电脑上只有一台Nvidia 460。我该如何解决这个问题？我应该使用其他远程软件吗？

问如何使用远程桌面运行cuda代码？
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