Details

Autor(en) / Beteiligte

• Calvin, Christophe
• Boillod-Cerneux, France
• De La Llave Plata, Marta
• Lê, Thiên Hiêp
• Deville, Michel
• Couaillier, Vincent
• Estivalèzes, Jean-Luc
• Vincent, Stéphane

Titel

HPC and Data: When Two Becomes One

Ist Teil von

• Turbulence and Interactions, p.14-25

Ort / Verlag

Cham: Springer International Publishing

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• As claimed for many years, High Performance Computing (HPC) and high performance numerical simulation are necessary tools for fundamental science and engineering. Big data and artificial intelligence are some newcomers in the landscape, but not that new, especially in science. Finally, open data and open science are becoming now mandatory for trustable and reproducible science. This paper presents the recent evolution of HPC with the spectacular arising of AI. HPC and AI share at least one common point: Data. Many HPC communities are struggling with data, whether they are coming from simulation and wait to be analyzed, or coming from large instruments (experiments, observatories) and wait to be treated. Data was not a major focus in the last decades for HPC community but it reshapes HPC paradigms by introducing data as a “scientific pillar”. We will first present the current HPC context and how AI changed the current HPC landscape. We will then focus about data use in HPC and how AI can improve HPC simulations. We will also present the concept of FAIR data and why this concern shall be treated soon and embraced by HPC and AI community. We will finally conclude on the data issue and present our point of view regarding the future evolution of HPC market.