Sep 24 – 27, 2019
CERN
Europe/Zurich timezone

How AI and DA combined with HPC shape innovation in Exascale architectures

Sep 26, 2019, 11:45 AM
45m
80/1-001 - Globe of Science and Innovation - 1st Floor (CERN)

80/1-001 - Globe of Science and Innovation - 1st Floor

CERN

60
Show room on map

Speaker

Marie-Christine Sawley (Intel Corporation)

Description

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.

Presentation materials