SUPR
Data-driven modelling of complex fluid flows
Dnr:

NAISS 2023/22-1244

Type:

NAISS Small Compute

Principal Investigator:

Outi Tammisola

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2023-11-20

End Date:

2024-11-01

Primary Classification:

20306: Fluid Mechanics and Acoustics

Webpage:

Allocation

Abstract

We present a small-level request for computer time on high-performance computing (HPC) resources in Alvis within the National Academic Infrastructure for Super-computing in Sweden (NAISS). The research group of the applicant consists of a total of 1 Postdoc and 6 PhD students. The group’s research interest is towards the numerical modelling of complex flows that are of interest to the scientific community and also finds insightful industrial applications. Under "Resource usage" we describe our scientific project which rely on GPU resources. This application is aimed at extending the previous SNIC project 2022/22-966.