DocumentCode
1918066
Title
Poster: Big Data Networking at Fermilab
Author
Demar, Phillip J. ; Dykstra, David ; Garzoglio, Gabriele ; Mhashilkar, Parag ; Rajendran, Anupam ; Wu, Wenji
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
1400
Lastpage
1400
Abstract
Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment´s US Tier-1 Center, the largest of the LHC Tier-1s. The Laboratory must deal with both scaling and wide-area distribution challenges in processing its CMS data. Fortunately, evolving technologies in the form of 100Gigabit ethernet, multi-core architectures, and GPU processing provide tools to help meet these challenges. Current Fermilab R&D efforts in these areas include optimization of network I/O handling in multi-core systems, modification of middleware to improve application performance in 100GE network environments, and network path reconfiguration and analysis for effective use of high bandwidth networks. This poster will describe the ongoing network-related R&D activities at Fermilab as a mosaic of efforts that combine to facilitate big data processing and movement.
Keywords
100GE network; GPU processing; Large Hadron Collider experiments; big data processing; multi-core systems; scaling; wide-area distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4673-6218-4
Type
conf
DOI
10.1109/SC.Companion.2012.215
Filename
6495998
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