tensorflowPartitioningAndScheduling
Simulation of TensorFlow partitioning and scheduling strategies as discribed in [1].
The simulation code including the implementation of the partitioning and scheduling strategies described in [1] are contained in the folder "./Code".
"./Sample_Data" contains the evaluated networks ("./Sample_Data/Graph") and some examples of setups for the device properties ("./Sample_Data/Device").
[1] Ruben Mayer, Christian Mayer, and Larissa Laich. 2017. The tensorflow partitioning and scheduling problem: it's the critical path!. In Proceedings of the 1st Workshop on Distributed Infrastructures for Deep Learning (DIDL '17). ACM, New York, NY, USA, 1-6. DOI: https://doi.org/10.1145/3154842.3154843