Abstract

Imbalance among components of large scale parallel simulations can adversely affect overall application performance. Software induced imbalance has been extensively studied in the past, however, there is a growing interest in characterizing and understanding another source of variability, the one induced by the hardware itself. This is particularly interesting with the growing diversity of hardware platforms deployed in high-performance computing (HPC) and the increasing complexity of computer architectures in general. Nevertheless, characterizing hardware performance variability is challenging as one needs to ensure a tightly controlled software environment.
In this paper, we propose to use lightweight operating system kernels to provide a high-precision characterization of various aspects of hardware performance variability. Towards this end, we have developed an extensible …

Metadata

publication

High Performance Computing: 33rd International Conference, ISC High …, 2018

year

2018

publication date

2018

authors

Hannes Weisbach, Balazs Gerofi, Brian Kocoloski, Hermann Härtig, Yutaka Ishikawa

link

https://link.springer.com/chapter/10.1007/978-3-319-92040-5_13

resource_link

https://os.inf.tu-dresden.de/papers_ps/isc2018-weisbach-hwperfvar.pdf

conference

High Performance Computing: 33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24-28, 2018, Proceedings 33

pages

246-265

publisher

Springer International Publishing