MapLib provides algorithms for generating mapping of processing elements to processor unities
MapLib contains the following process mapping techniques:
Communication- and Topology-Oblivious Mapping:
PeanoHilbertGraysweepscan
Communication- and Topology-Aware Mapping:
Bokharitopo-awaregreedyFHgreedygreedyALLCbipartitionPaCMap
The folder mapping-matters-commMatrices contains all input communication matrices
and
The folder mapping-matters-Mappings contains all mappings that were used in the paper:
Mapping Matters: Application Process Mapping on 3-D Processor Topologies available at: https://arxiv.org/abs/2005.10413
The sub-folder MapLib contains all Python files where mapping.py and mapping_compl.py consist of the implemented mapping algorithms.
To install the program: pip3 install --editable .
As an example of how to use the library, one can use the provided wrapper.sh script
Acknowledgments
Acknowledgment to Daniel Besmer and Viacheslav Sharunov for their earlier contribution to the library.