26-28 Jun 2019 Bordeaux (France)
Is Acyclic Directed Graph Partitioning Effective for Locality-Aware Scheduling?
M. Yusuf Ozkaya, Anne Benoit, Ümit Çatalyürek  1@  
1 : Georgia Institute of Technology

We investigate efficient execution of computations, modeled as Directed Acyclic Graphs (DAGs), on a single processor with a two-level memory hierarchy, where there is a limited fast memory and a larger slower memory. Our goal is to minimize execution time by minimizing redundant data movement between fast and slow memory. We utilize a DAG partitioner that finds localized, acyclic parts of the whole computation that can fit into fast memory, and minimizes the edge cut among the parts. We propose a new scheduler that executes each part one-by-one, obeying the dependency among parts, aiming at reducing redundant data movement needed by cut-edges. Extensive experimental evaluation shows that the proposed DAG-based scheduler significantly reduces redundant data movement.

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