SCHEDULE: NOV 10-16, 2012
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Networking Research Activities at Fermilab for Big Data Analysis
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Phil Demar, David Dykstra, Gabriele Garzoglio, Parag Mhashilkar, Anupam Rajendran, Wenji Wu
ROOM:East Entrance
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) experiments 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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Phil Demar - Fermi National Laboratory
David Dykstra - Fermi National Laboratory
Gabriele Garzoglio - Fermi National Laboratory
Parag Mhashilkar - Fermi National Laboratory
Anupam Rajendran - Fermi National Laboratory
Wenji Wu - Fermi National Laboratory
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Networking Research Activities at Fermilab for Big Data Analysis
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Phil Demar, David Dykstra, Gabriele Garzoglio, Parag Mhashilkar, Anupam Rajendran, Wenji Wu
ROOM:East Entrance
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) experiments 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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Phil Demar - Fermi National Laboratory
David Dykstra - Fermi National Laboratory
Gabriele Garzoglio - Fermi National Laboratory
Parag Mhashilkar - Fermi National Laboratory
Anupam Rajendran - Fermi National Laboratory
Wenji Wu - Fermi National Laboratory
Click here to download .ics calendar file