Extreme-scale viability of collective communication for resilient task scheduling and work stealing

Extreme-scale computing will bring significant changes to high performance computing system architectures. In particular, the increased number of system components is creating a need for software to demonstrate pervasive parallelism and resiliency. Asynchronous, many-task programming models show promise in addressing both the scalability and resiliency challenges; however, they introduce an enormously challenging distributed, resilient consistency problem. In this work, we explore the viability of resilient collective communication in task scheduling and work stealing and, through simulation with SST/macro, the performance of these collectives on speculative extreme-scale architectures.