Tuesday 12 March 2019 | 14:00hrs GMT / 15:00hrs CET
zCFD by Zenotech is a density based finite volume and Discontinuous Galerkin (DG) computational fluid dynamics (CFD) solver for steady-state or time-dependent flow simulation. It decomposes domains using unstructured meshes. It is written in Python and C++ and parallelised with OpenMP and MPI.
This webinar will describe the work that POP and Zenotech undertook to investigate the performance of zCFD. An initial Performance Audit using Intel's VTune Amplifier performance profiler identified several areas of potential improvement, which Zenotech went on to address in a POP Proof-of-Concept (PoC) study. As a result of the PoC, zCFD ran 3x faster on a representative input case.
In this 30-minute live webinar, we will describe:
- An introduction to POP's performance analysis methodology;
- How Intel VTune was used to gain performance insights;
- The modifications made to zCFD as a result.
About the Presenter
Nick Dingle obtained an M.Sc. in Computing Science from Imperial College London in 2001 and a Ph.D. in Computing from the same institution in 2004. He worked as a Research Associate at Imperial and the School of Maths at the University of Manchester between 2007 and 2013. Nick is now a Technical Consultant at the Numerical Algorithms Group, working on the EU-funded Performance Optimisation and Productivity Centre of Excellence in HPC.