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This is the seventh episode of our HPC podcast, with a spotlight on Niclas Jansson who works at KTH Royal Institute of Technology in Stockholm, one of our project partner institutions. Niclas was nominated as a finalist for the prestigious Gordon Bell Prize, for leading the development of Neko, a high-fidelity spectral-element code. This code is instrumental to conducting unprecedented large-scale direct numerical simulations of fully developed turbulence while maintaining high-performance portability on GPU-accelerated platforms. In this episode, he explains the work undertaken and talks about the overall experience as a nominee.

Don't forget to subscribe to the podcast and follow us on Twitter (twitter.com/EXCELLERAT_CoE) and LinkedIn (linkedin.com/company/excellerat).

Credits:
Jingle/Song by freesfx.co.uk
Image by Austin Distel @unsplash.

This podcast is powered by EXCELLERAT (www.excellerat.eu). Funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Germany, Italy, Slovenia, Spain, Sweden, and France under grant agreement No 101092621.
This is the seventh episode of our HPC podcast, with a spotlight on Niclas Jansson who works at KTH Royal Institute of Technology in Stockholm, one of our project partner institutions. Niclas was nominated as a finalist for the prestigious Gordon Bell Prize, for leading the development of Neko, a high-fidelity spectral-element code. This code is instrumental to conducting unprecedented large-scale direct numerical simulations of fully developed turbulence while maintaining high-performance portability on GPU-accelerated platforms. In this episode, he explains the work undertaken and talks about the overall experience as a nominee. Don't forget to subscribe to the podcast and follow us on Twitter ( twitter.com/EXCELLERAT_CoE ) and LinkedIn ( linkedin.com/company/excellerat ). Credits: Jingle/Song by freesfx.co.uk Image by Austin Distel @ unsplash . This podcast is powered by EXCELLERAT ( www.excellerat.eu ). Funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Germany, Italy, Slovenia, Spain, Sweden, and France under grant agreement No 101092621. leer más leer menos

hace 4 meses #codes, #engineering, #hpc, #simulation