Abstract-Next-generation systems face a wide range of new potential sources of application interference, including resilience actions, system software adaptation, and in situ analytics programs. In this paper, we present a new model for analyzing the performance of bulk-synchronous HPC applications based on the use of extreme value theory. After validating this model against both synthetic and real applications, the paper then uses both simulation and modeling techniques to profile nextgeneration interference sources and characterize their behavior and performance impact on a selection of HPC benchmarks, mini-applications, and applications. Lastly, this work shows how the model can be used to understand how current interference mitigation techniques in multi-processors work.
Mondragon et al. use both simulation and modeling technique to profile next-generation interference sources and performance of the HPC benchmarks REF .
Understanding Performance Interference in Next-Generation HPC Systems
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis
Computer Science