HLRS¶
Overview¶
The High-Performance Computing Center Stuttgart (HLRS) is a central facility of the University of Stuttgart that operates the Tier-0, 26 PFLOPS peak performance, HPE Apollo Hawk supercomputer. It also operates the Vulcan cluster for artificial intelligence, big data analytics and visualization, and is currently developing exascale capabilities [3]. See their Solutions page for more details.
Applying for compute time¶
Quoting from rubric “University of Stuttgart researchers” in Apply for Computing Time:
Each University of Stuttgart institute/department has identified a single contact person who is responsible for managing administrative issues related to usage of HLRS’s systems. The contact person in your department is responsible for defining new projects (accounting groups or “Abrechnungsprojekte”) and user logins through the administration interface (password restricted).
If your institute/department does not yet have such a person, please use this contact form to define who is responsible.
Frank Huber is the contact person at the ICP.
Obligations¶
Usage of HLRS comes with reporting obligations and acknowledgment requirements. The exact formulation for the acknowledgment is documented in the HLRS wiki. Every year, a progress report must be submitted in the form of a conference paper (submission page). The most impactful contributions will be published in the HLRS book series “High Performance Computing in Science & Engineering”. Already published papers are eligible, pending permission from the copyright holder (see e.g. book chapter Hirschmann et al. [2020] and its reprint in Hirschmann et al. [2022]).
Publications¶
Hazel Hen
[Zeman et al., 2020, Zeman et al., 2021]: GROMACS simulations (project of the ICP)
[Hirschmann et al., 2018, Hirschmann et al., 2019, Hirschmann et al., 2019]: ESPResSo simulations with 3.2 million particles using load balancing [1] (project of the SFB 716 [2])
[Hirschmann, 2021, Hirschmann et al., 2020, Hirschmann et al., 2022]: ESPResSo simulations with 110 million particles on Hazel Hen and SuperMUC
HLRS curated databases
Miscellaneous
[Gugerli and Wichum, 2022]: HLRS history