About
Major efforts to build an exascale class computer are under way in four regions of the world. This time, the game changer compared with the previous decade—sustained PF—is the impressive growth of Deep Learning/Ai/Data analytics in all industry segments. This sustained growth and inflexion towards data-centric workflows is having a significant impact on the architectural features, from HW and SW perspectives, of an Exascale class computer. At very coarse grain, the main questions raised by this change are: how to move data faster; where to store data in the most efficient and cost effective way possible; how to process complex workflows and how to compute at unprecedented large scale and high performance. For each of these questions we will share how selected technology bricks help us building a powerful and sustainable solution.
This talk will also share the importance of collaborations with the community to helped tracing the path up to this new chapter of HPC and Data analytics..
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The talk
Credits and licence
- Institution
- CERN
- Department
- other events or meetings
- Speaker
- Marie-Christine Sawley
- Year
- 2019
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed