Presentation on DynPartition

Date:

Presented a novel rein-forcement learning-based scheduler that performs dynamic partitioning of computation workload across multiple heterogeneous GPUs for large neural network inference tasks. Formated our results and contributions as a technical report and provided a slide presentation.

View our report here

View our project on github