DocumentCode
69496
Title
Adventures in Antarctic Computing, or How I Learned to Stop Worrying and Love the Neutrino
Author
Gerhardt, Lisa ; Velez, Juan Carlos Diaz ; Klein, S.R.
Author_Institution
Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
Volume
47
Issue
9
fYear
2014
fDate
Sept. 2014
Firstpage
56
Lastpage
61
Abstract
IceCube--a neutrino telescope that encompasses a cubic kilometer of Antarctic ice at the South Pole, collecting and processing data from 5,160 optical sensors buried a mile deep in the icecap--presents considerable challenges, from overcoming power and bandwidth limitations to simulating the complexities of Antarctic ice, which continue to stretch computing technology. IceCube has faced many computational challenges during its evolution: successfully deploying 5,160 robust, ultralow-power networked computers under 1.5 kilometers of ice; sifting through a terabyte of data daily to cull out just 100 Gbytes of events to send from the SouthPole to the north; processing this data, using sophisticated, CPU-hungry algorithms; and developing satisfactory tools, building appropriate GPU clusters, and managing data to facilitate simulation production. IceCube´s success in meeting these challenges is demonstrated by its successful physics results.
Keywords
astronomical telescopes; astronomy computing; computerised instrumentation; Antarctic computing; Antarctic ice; CPU-hungry algorithms; GPU clusters; IceCube; South Pole; computing technology; icecap; neutrino telescope; optical sensors; ultralow-power networked computers; Antarctica; Detectors; Graphics processing units; Ice; Neutrino sources; Optical sensors; Photomulipliers; Photonics; Scientific computing; Antarctica; Cherenkov radiation; IceCube Neutrino Observatory; cluster; data analysis; digital optical modules; neutrino detection; neutrino simulations; photomultiplier tubes; scientific computing;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2014.234
Filename
6898738
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