Title
Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL
Abstract
Traditionally, the ATLAS experiment at Large Hadron Collider (LHC) has utilized distributed resources as provided by the Worldwide LHC Computing Grid (WLCG) to support data distribution, data analysis and simulations. For example, the ATLAS experiment uses a geographically distributed grid of approximately 200,000 cores continuously (250 000 cores at peak), (over 1,000 million core-hours per year) to process, simulate, and analyze its data (todays total data volume of ATLAS is more than 300 PB). After the early success in discovering a new particle consistent with the long-awaited Higgs boson, ATLAS is continuing the precision measurements necessary for further discoveries. Planned high-luminosity LHC upgrade and related ATLAS detector upgrades, that are necessary for physics searches beyond Standard Model, pose serious challenge for ATLAS computing. Data volumes are expected to increase at higher energy and luminosity, causing the storage and computing needs to grow at a much higher pace than the flat budget technology evolution (see Fig. 1). The need for simulation and analysis will overwhelm the expected capacity of WLCG computing facilities unless the range and precision of physics studies will be curtailed.
Year
DOI
Venue
2018
10.1109/eScience.2018.00086
2018 IEEE 14th International Conference on e-Science (e-Science)
Keywords
Field
DocType
exascale computing,high-luminosity LHC upgrade,WLCG computing facilities,Higgs boson,ORNL,Worldwide LHC Computing Grid,ATLAS experience,high energy physics,ATLAS computing,ATLAS detector upgrades,geographically distributed grid,ATLAS experiment,data analysis,data distribution
Exascale computing,ATLAS experiment,Large Hadron Collider,Higgs boson,Computer science,Worldwide LHC Computing Grid,Upgrade,Atlas (anatomy),Computational science,Grid,Distributed computing
Conference
ISSN
ISBN
Citations 
2325-372X
978-1-5386-9157-1
0
PageRank 
References 
Authors
0.34
0
13
Name
Order
Citations
PageRank
V. Ananthraj100.34
K. De200.34
S. Jha37921539.19
A. Klimentov452.57
Danila Oleynik530.82
Sarp H. Oral631.16
Andre Merzky713020.45
Ruslan Mashinistov800.34
S. Panitkin951.90
P. Svirin1000.34
Matteo Turilli118416.21
Jack C. Wells12154.24
S. Wilkinson1300.34