Post-doctoral researcher - GPU/ML integration for CFD codes (ANL Collaboration)

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 900 staff from 55 countries.

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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

There is a need to increase the capabilities of current Computational Fluid Dynamics tools for engineering design by re-engineering them for extreme-scale parallel computing platforms. The backbone of the Large-scale Computational Fluid Dynamics (LS/CFD) team is centred on the fact that today, the capabilities of leading-edge emerging HPC architectures are not fully exploited by industrial simulation tools. Current state-of-the-art industrial solvers do not take sufficient advantage of the immense capabilities of new hardware architectures, such as streaming processors or many-core platforms. A combined research effort focusing on novel numerical methods, more accurate physical models, algorithms and HPC application is the only way to make it possible to develop and advance simulation tools to meet the needs of the European industry. The LS/CFD team will focus on the development of numerical tools, turbulence models, multi-physics algorithms, data-driven methodologies and large-scale industrial simulations.

The selected candidate will participate in collaboration activities between BSC and Argonne National Laboratory. Discussions between ANL researchers in the Mathematics and Computer Science Division and members of the Barcelona Supercomputing Center (LS/CFD) have identified several areas of mutual interest that could lead to a productive collaboration to address pressing energy and environmental needs. We propose to select a post-doctoral researcher to facilitate collaborations in these topic areas. A proposed unifying theme would be ML-driven simulations of atmospheric transport. This theme would touch upon work being done by BSC in particulate transport in the atmosphere and atmospheric boundary layer work done by the ANL team. Required components of such a project include:
• General aspects of wall models for LES
• Reduced-order models to leverage data from the exascale simulations
• Machine-learning techniques to broaden the interpretation and analysis of the foundational exascale simulations.
• Exascale HPC simulations in complex domains
• High-performance on modern node architectures

Successful development of such a project would have translational benefits over a broad range of applications of national and international importance such as climate modelling, wind-farm design, reactor design, and clean combustion. Its success requires a researcher who has an understanding of the full stack outlined above.