Published April 8, 2022
| Version 1.0
Dataset
Open
A scheduler log replayer and logs for BFTrainer evaluation
Description
This is a temporary repository to host source for paper: BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes.
Files
BFTrainer-replay.pythe main program to replay real scheduler to evaluate our resource allocation algorithmjobs.pyimplements functions to manage jobs.progCBC.pyorprogGRB.pythe implementation of mixed Integer linear programming using Gurobi optimizer (progGRB.py). We also open source our implementation (progGRB.py) using free optimizer (e.g., CBC, Pulp and JuMP). You can get an Trial Licenses or Free Academic Licenses from Gurobi if you want to run the current version. You need to adjust the import source in theBFTrainer-replay.pyto use the CBC based solver.trace.pyhas functions to manage scheduler logs for the replay evaluation.
Files
BFTrainer-Log-and-Replayer.zip
Files
(1.6 MB)
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