HPC Performance Optimisation for Materials Science

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HPC Performance Optimisation for Materials Science

Federico
Panichi
Numerical Algorithms Group Ltd,
UK

As an HPC Application Analyst at Manchester NAG, I'm involved in the EU-founded project named Performance Optimisation and Productivity (POP). POP is an HPC Centre of Excellence (CoE) devoted to the optimisation and analysis of academic and industrial parallel codes. I joined NAG on February 2020. Prior to NAG, I worked as a C++ software engineer. I earned my Ph.D. degree in Physics at the University of Szeczin.

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