Enhancing the capabilities of existing Computational Fluid Dynamics (CFD) tools for engineering design is essential, and this can be achieved by re-engineering them for extreme-scale parallel computing platforms. The Large-scale Computational Fluid Dynamics (LS/CFD) team's core belief is that the potential of cutting-edge High-Performance Computing (HPC) architectures is not fully harnessed by current industrial simulation tools. Modern industrial solvers fail to leverage the full potential of new hardware architectures, including streaming processors and many-core platforms. A concerted research effort in innovative numerical methods, more precise physical models, algorithms, and HPC applications is crucial to evolve and refine simulation tools that can fulfill the demands of the European industry. The LS/CFD team is dedicated to developing numerical tools, turbulence models, multi-physics algorithms, data-driven methodologies, and large-scale industrial simulations.The chosen candidate will be involved in creating novel multi-phase methods for DNS optimized for GPUs within various European and National initiatives.
Key Duties
- Lead high fidelity multi-phase activities to be carried out by BSC in the LS/CFD team
- Interact with the different collaborators of the LS/CFD team to carry out our collaborative research
- Research on GPU porting of CFD codes
- Contribute in scientific papers publications
Data de tancament: Divendres, 31 Gener, 2025
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