Late last year I was trying to do some machine learning work on my brand new Alienware 15 R4 gaming laptop. I had bought the laptop in order to have something portable with sufficient performance to actually do convolutional neural network (CNN) training and inference “on the road”. The GTX 1060 in the laptop is just as powerful as my home desktop machine, and should run Tensorflow and Keras well. I had the setup working on the desktop already, and copied the code over to the laptop. When trying to run the code the first time, I got some rather strange errors that I finally figured out meant that I was missing the CUDA toolkit. I downloaded CUDA version 10, installed, and the machine rebooted into the Windows 10 automatic repair mode.
Continue reading “Windows 10 Reboot Loop – CUDA & Alienware”
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This post is a follow-up to the DAC panel discussion we had yesterday on how to conquer hardware-dependent software development. Most of the panel turned into a very useful dialogue on virtual platforms and how they are created, not really discussing how to actually use them for easing low-level software development. We did get to software eventually though, and had another good dialogue with the audience. Thanks to the tough DAC participants who held out to the end of the last panel of the last day!
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