今晚在看這一篇,一時好奇用了Google的英文自動翻譯功能.結果...有點好笑

紅字的英文告訴我們,要用多個nVidia 的GPU 來執行CUDA,要先關閉SLI模式.

http://www.tomshardware.com/reviews...a-gpu,1954.html

Conversely, we should point out that sharing resources – in this case video memory – with graphics data is not always idyllic and can lead to a few headaches. For example, for a change of resolution or color depth, the graphics data have priority. So, if the resources for the frame buffer need to increase, the driver won’t hesitate to grab the ones that are allocated to applications using CUDA, causing them to crash. It’s not very elegant, granted; but you have to admit that the situation shouldn’t come up very often. And since we’re on the subject of little disadvantages: If you want to use several GPUs for a CUDA application, you’ll have to disable SLI mode first, or only a single GPU will be visible to CUDA.相反，我們應該指出，資源共享-在這種情況下，視頻內存-帶有圖形的數據並非總是田園，並可能導致一些令人頭疼的問題。例如，改變分辨率或色彩深度，圖形數據的優先事項。因此，如果資源的幀緩存需要增加，司機會毫不猶豫地抓住那些被分配到應用程序中使用CUDA技術，使他們崩潰。這不是非常優雅，授予;但你必須承認，這種情況不應出現非常頻繁。並由於我們對這個問題沒有什麼缺點：如果您想使用的幾個採用CUDA技術的GPU應用，您可以禁用SLI模式第一，或只有單GPU將會看到採用CUDA技術。