This is the central repository for the (Python) code used to generate results in my PhD thesis, "Scheduling with Precedence Constraints in Heterogeneous Parallel Computing".
chapter2 : Optimizing scheduling heuristics for accelerated architectures.
chapter3 : The critical path in heterogeneous scheduling.
chapter4 : Predicting schedule length under uncertainty.
chapter5 : Stochastic scheduling.
graphs : Graph topologies which are used by code in all of the above chapter folders.
requirements.txt : Python packages required to run all code.
Requires Python >= 3.8 since some of the code in chapter4 and chapter5 uses functions from the statistics module that were only introduced in 3.8. Older Python3 versions might be adequate for chapter2 and chapter3 but Python2 definitely will not work.
To install all relevant Python packages:
pip install -r requirements.txt
This project is licensed under the GPL-3.0 License - see LICENSE for details.