usatlas-hllhc-computing-l AT lists.bnl.gov

Subject: US ATLAS HL-LHC computing discussion

List archive

[Usatlas-hllhc-computing-l] ML as a path to exascale

From: Torre Wenaus <wenaus AT gmail.com>
To: usatlas-hllhc-computing-l AT lists.bnl.gov
Subject: [Usatlas-hllhc-computing-l] ML as a path to exascale
Date: Mon, 17 Sep 2018 09:52:32 +0200

I was asked to make a few high level slides supporting (given how the BNL workshop went) the case that ML (via fast sim) is the most promising path we see at this point to exascale in 2021... comments welcome

https://docs.google.com/presentation/d/1X4n4NWJiqYJq5g9Dj_8S2gQObR9kDiumtsCtcD_mQe8/edit?usp=sharing

Torre

[Usatlas-hllhc-computing-l] ML as a path to exascale, Torre Wenaus, 09/17/2018