Work-in-Progress: Communication-Aware Scheduling of Data-Parallel Tasks

This paper studies scheduling of data-parallel tasks on multicore architectures. Unlike traditional task scheduling, this work allows individual tasks to run on multiple cores in a data-parallel fashion. Our scheduling method finds shortest schedules considering communication overhead.