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nvidia-gpu-scheduler reviews and mentions
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[D] How to be more productive while doing Deep Learning experiments?
Sure. No, a simple bash script is not enough. In my case, we have several machines shared in the department, some with GPUs, some without. What I have is a python script that gets a list of jobs and then it schedule them in the first available machine (according to memory/CPU/GPU availability). Unfortunately, what I have is really entangled with our computing platform (Docker-based with a shared filesystem) and not really easy to have it as standalone project (that's why I said "know you infrastructure"). The most similar thing that I could find online is this project. I believe there are then some HPC tools that could be useful (e.g. Slurm), but that's way too much for what we need.
Stats
jigangkim/nvidia-gpu-scheduler is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of nvidia-gpu-scheduler is Python.
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