Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives
Afzal A, Hager G, Markidis S, Wellein G (2023)
Publication Language: English
Publication Type: Journal article
Publication year: 2023
Journal
DOI: 10.1016/j.future.2023.06.017
Abstract
Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI communication in memory-bound parallel programs on multicore clusters and how it can be facilitated. For instance, slowing down MPI processes by deliberate injection of delays can improve performance if certain conditions are met. This leads to the counter-intuitive conclusion that noise, independent of its source, is not always detrimental but can be leveraged for performance improvements. We employ phase-space graphs as a new tool to visualize parallel program dynamics. They are useful in spotting certain patterns in parallel execution that will easily go unnoticed with traditional tracing tools. We investigate five different microbenchmarks and applications on different supercomputer platforms: an MPI-augmented STREAM Triad, two implementations of Lattice-Boltzmann fluid solvers (D3Q19 and SPEChpc D2Q37), the LULESH and HPCG proxy applications.
Authors with CRIS profile
Ayesha Afzal
Regionales Rechenzentrum Erlangen (RRZE)
Georg Hager
Regionales Rechenzentrum Erlangen (RRZE)
Gerhard Wellein
Professur für Höchstleistungsrechnen
Additional Organisation(s)
Involved external institutions
Sweden (SE)How to cite
APA:
Afzal, A., Hager, G., Markidis, S., & Wellein, G. (2023). Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives. Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications. https://dx.doi.org/10.1016/j.future.2023.06.017
MLA:
Afzal, Ayesha, et al. "Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives." Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications (2023).
BibTeX: Download