问题:是否有Geforce卡的仿真器,可以让我在没有实际硬件的情况下编程和测试CUDA？
信息:
I'm looking to speed up a few simulations of mine in CUDA, but my problem is that I'm not always around my desktop for doing this development. I would like to do some work on my netbook instead, but my netbook doesn't have a GPU. Now as far as I know, you need a CUDA capable GPU to run CUDA. Is there a way to get around this? It would seem like the only way is a GPU …
虽然"googl'ing"并进行了一些研究,但我无法在AMD硬件上找到任何用于科学GPGPU计算和OpenCL的严肃/流行框架/ sdk .我错过了哪些文献和/或软件？
特别是我对深度学习感兴趣.
据我所知,deeplearning.net推荐使用NVIDIA硬件和CUDA框架.此外,我所知道的所有重要的深度学习框架,如Caffe,Theano,Torch,DL4J,......都专注于CUDA而不打算支持OpenCL/AMD.
此外,人们可以找到大量科学论文以及基于CUDA的深度学习任务的相应文献,但基于OpenCL/AMD的解决方案几乎没有.
在2015/16学年,是否有可能出现基于OpenCL/AMD的新解决方案或现有科学框架？
使用OpenCL/AMD进行深度学习的良好开端是什么？有文献吗？教程？杂项来源？