Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization

QC 20240726
Key to the success of developing high-performance applications for present and future heterogeneous supercomputers will be the systematic use of measurement and analysis to understand factors that affect delivered performance in the context of parallelization strategy, heterogeneous programming methodology, data partitioning, and scalable algorithm design. The evolving complexity of future exascale platforms makes it unrealistic for application teams to implement their own tools. Similarly, it is naive to expect available robust performance tools to work effectively out-of-the-box, without integration and specialization in respect to application-specific requirements and knowledge. Vlasiator is a powerful massively parallel code for accurate magnetospheric and solar wind plasma simulations. It is being ported to the LUMI HPC system for advanced modeling of the Earth’s magnetosphere and surrounding solar wind. Building on a preexisting Vlasiator performance API called Phiprof, our work significantly advances the performance measurement and analysis capabilities offered to Vlasiator using the TAU, APEX, and IPM tools. The results presented show in-depth characterization of node-level CPU/GPU and MPI communications performance. We highlight the integration of high-level Phiprof events with detailed performance data to expose opportunities for performance tuning. Our results provide important insights to optimize Vlasiator for the upcoming Exascale machines.

Pfau-Kempf, YannUniversity of Helsinki Helsinki, Finland (author)
Battarbee, MarkusUniversity of Helsinki (author)
Ganse, UrsUniversity of Helsinki Helsinki, Finland (author)
Shende, SameerUniversity of Oregon Eugene, Oregon, USA (author)
Huck, KevinUniversity of Oregon Eugene, Oregon, USA (author)
Rodriquez, JordiUniversity of Oregon Eugene, Oregon, USA (author)
Kotipalo, LeoUniversity of Helsinki Helsinki, Finland (author)
Faj, JenniferKTH,Beräkningsvetenskap och beräkningsteknik (CST)(Swepub:kth)u1ysmmg9 (author)
Williams, Jeremy J.KTH,Beräkningsvetenskap och beräkningsteknik (CST)(Swepub:kth)u1vybam1 (author)
Peng, Ivy BoKTH,Beräkningsvetenskap och beräkningsteknik (CST)(Swepub:kth)u1hwtn2r (author)
Malony, Allen D.University of Oregon Eugene, Oregon, USA (author)
Markidis, StefanoKTH,Beräkningsvetenskap och beräkningsteknik (CST)(Swepub:kth)u1y5heyt (author)
Palmroth, MinnaUniversity of Helsinki Helsinki, Finland; Finnish Meteorological Institute Helsinki, Finland (author)
École de Technologie Supérieure Montréal, Québec, CanadaUniversity of Helsinki Helsinki, Finland (creator_code:org_t)

In:IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 27-31, San Francisco, California, USA.

By the author/editor: Coti, Camille; Pfau-Kempf, Yann; Battarbee, Marku ...; Ganse, Urs; Shende, Sameer; Huck, Kevin; show more...; Rodriquez, Jordi; Kotipalo, Leo; Faj, Jennifer; Williams, Jeremy ...; Peng, Ivy Bo; Malony, Allen D.; Markidis, Stefan ...; Palmroth, Minna; show less...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Science ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Computer Systems

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