FAST wird auf dem 11. International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems (SRMPDS) eine Arbeit präsentieren. Der Workshop wird zusammen mit der International Conference on Parallel Processing (ICPP) in Peking, China veranstaltet werden.
Titel: Case Study on Co-Scheduling for HPC Applications
Autoren: Jens Breitbart, Josef Weidendorfer, Carsten Trinitis
Abstract: Most applications running on supercomputers achieve only a fraction of the peak performance of the system. In this paper we analyze the performance and energy efficiency of co-scheduling one memory bandwidth bound and one compute bound application on the same node. We present autopin+, a tool designed to monitor and optimize co-scheduling of applications. Our analysis shows that co-scheduling can improve both energy efficiency and overall throughput of a supercomputer. At best, runtime can be decreased by 28% and the energy consumption by 12%, respectively, compared to best case dedicated execution. The overall efficiency however strongly depends on the ratio of jobs available in the queue. We furthermore present a simple adaptive strategy depending on the available jobs in the queue.