Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guillen, Carla"'
As HPC systems grow in complexity, efficient and manageable operation is increasingly critical. Many centers are thus starting to explore the use of Operational Data Analytics (ODA) techniques, which extract knowledge from massive amounts of monitori
Externí odkaz:
http://arxiv.org/abs/2106.14423
The ability to understand how a scientific application is executed on a large HPC system is of great importance in allocating resources within the HPC data center. In this paper, we describe how we used system performance data to identify: execution
Externí odkaz:
http://arxiv.org/abs/2009.06061
Autor:
Netti, Alessio, Mueller, Micha, Guillen, Carla, Ott, Michael, Tafani, Daniele, Ozer, Gence, Schulz, Martin
As we approach the exascale era, the size and complexity of HPC systems continues to increase, raising concerns about their manageability and sustainability. For this reason, more and more HPC centers are experimenting with fine-grained monitoring co
Externí odkaz:
http://arxiv.org/abs/1910.06156
Autor:
Netti, Alessio, Mueller, Micha, Auweter, Axel, Guillen, Carla, Ott, Michael, Tafani, Daniele, Schulz, Martin
Today's HPC installations are highly-complex systems, and their complexity will only increase as we move to exascale and beyond. At each layer, from facilities to systems, from runtimes to applications, a wide range of tuning decisions must be made i
Externí odkaz:
http://arxiv.org/abs/1906.07509
Publikováno v:
In Parallel Computing October 2022 113
Autor:
Guillen, Carla1 guillen@lrz.de, Navarrete, Carmen1 navarrete@lrz.de, Brayford, David1 brayford@lrz.de, Hesse, Wolfram1 hesse@lrz.de, Brehm, Matthias1 brehm@lrz.de
Publikováno v:
Computing. Aug2017, Vol. 99 Issue 8, p747-764. 18p.
Autor:
Schöne, Robert, Treibig, Jan, Dolz, Manuel, Guillen, Carla, Navarrete, Carmen, Knobloch, Michael, Rountree, Barry
Publikováno v:
Scientific Programming, Vol 22, Iss 4, Pp 273-283 (2014)
Scientific programming 22(4), 273–283 (2014). doi:10.3233/SPR-140393
Scientific programming 22(4), 273–283 (2014). doi:10.3233/SPR-140393
Energy costs nowadays represent a significant share of the total costs of ownership of High Performance Computing (HPC) systems. In this paper we provide an overview on different aspects of energy efficiency measurement and optimization. This include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c482414d6a1a1edb74a8432392a67d
https://doaj.org/article/e2740bd1e02845608dacbdd6926ef670
https://doaj.org/article/e2740bd1e02845608dacbdd6926ef670
Akademický článek
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Publikováno v:
2016 IEEE High Performance Extreme Computing Conference (HPEC); 2016, p1-6, 6p
Publikováno v:
2016 2nd International Conference on Green High Performance Computing (ICGHPC); 2016, p1-8, 8p