Following the Programming Giude of CUDA 4.0, I call cudaGLSetGLDevice before any other runtime calls. But the next cuda call, cudaMalloc, return \"all CUDA-capable devices are busy or unavailable.\"
On Windows XP (64-bit) it seems to be impossible to render with OpenGL to two screens connected to different graphics cards with different GPUs (e.g. two NVIDIAs of different generations). What happen
Can I have two mixed chipset/generation AMD gpus in my desktop; a 6950 and 4870, and dedicate one gpu (4870) for opencl/gpgpu purposes only, eliminating the device from video output or display driving
Question I have an OpenGL application that will run in machines with diverse multi-GPU configurations (and possibly different Windows versions, from XP to 7). Is there a general way to select the spe
I\'m currently developing a machine learning toolkit for GPU clusters. I tested logistic regression classifier on multiple GPUs.
PyCUDA, for all its faults, usually has very good examples provided with it / downloadable from the wiki. But I couldn\'t find anything in the examples or in the documentation (or a cursory google sea
Are all displays returned from .NET\'s Screen.AllScreens regardless of hardware configuration?For example, on a single PC you can have:
What are the best IDE\'s / IDE plugins / Tools, etc for programming with CUDA / MPI etc? I\'ve been working in these frameworks for a short while but feel like the IDE could be doing more heavy lifti
In Mac OS X, every display gets a unique CGDirectDisplayID number assigned to it.You can use CGGetActiveDisplayList() or [NSScreen screens] to access them, among others.Per Apple\'s docs:
tensorflow2.6；cuda11.2； 4G开发者_如何学运维PUS(RTX3070)； Tensorflow uses keras to define the training model, and multiple GPUs can accelerate normally. However, when using a custom loop training mo
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