Large-scale Simulations in Stability, Transition, Turbulence and Control
Title: Large-scale Simulations in Stability, Transition, Turbulence and Control
SNIC Project: SNIC 2020/2-11
Project Type: SNIC Large Storage
Principal Investigator: Dan Henningson <henning@mech.kth.se>
Affiliation: Kungliga Tekniska högskolan
Duration: 2020-07-01 – 2021-01-01
Classification: 20306 10508 10501
Homepage: http://www.flow.kth.se/
Keywords:

Abstract

This is a large storage extension to the ongoing large compute project SNIC 2019/2-5. We present a large-level request for storage on high-performance computing (HPC) resources within the Swedish National Infrastructure for Computing (SNIC). The proposed projects by the research groups of the FLOW Centre at KTH Engineering Mechanics are summarized. The group of applicants consists of a total of 5 senior researchers, 3 application experts, 3 Postdocs and 19 PhD students, i.e. a total of 30 researchers. We actively promote collaboration within our large user group to facilitate HPC support, sharing of simulation methods, codes, data, postprocessing, data management methods, and user experience. We have thus found it beneficial to apply for a large-level allocation instead of multiple medium-level requests. In this proposal we describe our scientific projects which rely on HPC resources, grouped into four main areas: 1) aeronautics; 2) wind turbines and geophysical flows; 3) dynamical systems, uncertainty quantification and machine learning; 4) fundamentals of transition and turbulence. Due to the large number of collaborators, we do not list all individual projects, but rather give an overview of the general research directions. Our research makes use of the numerical codes described in the previous computer application (SNIC 2019/2-5), and the specific data management plan. Note that we get specific application support through the Swedish e-Science Research Centre (SeRC) in the form of three application experts, Dr. Niclas Jansson, Dr. Jing Gong and Dr. Adam Peplinski and we actively develop our codes considering efficient I/O operations as well. As we use in our ongoing compute project multiple machines (Tetralith (NSC), Kebnekaise (HPC2N), Beskow (PDC)), it is important for us to have a good mix of storage space between different computer centres. The storage solutions are thus the capabilities at PDC and NSC. In addition we intend to provide databases for external users, so we apply for a smaller share on the iRODS system.