EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||6|
|Section||T3 - Distributed computing|
|Published online||17 September 2019|
Enrico Fermi Institute, University of Chicago,
933 E. 56th Street,
2 Kavli Institute for Cosmological Physics, University of Chicago, 5640 S Ellis Ave, Chicago, IL 60637
3 Department of Physics, University of California, Berkeley, 366 LeConte Hall MC 7300, Berkeley, CA, 394720
4 Fermi National Accelerator Laboratory, PO Box 500, Batavia IL 60510
5 Department of Physics and Astronomy, University of California, Los Angeles, 475 Portola Plaza, Los Angeles CA, 90095
* e-mail: firstname.lastname@example.org
Published online: 17 September 2019
SPT-3G, the third generation camera on the South Pole Telescope (SPT), was deployed in the 2016-2017 Austral summer season. The SPT is a 10-meter telescope located at the geographic South Pole and designed for observations in the millimeter-wave and submillimeter-wave regions of the electromagnetic spectrum. The SPT is primarily used to study the cosmic microwave background (CMB). The upgraded camera produces an order of magnitude more data than the previous generations of SPT cameras. The telescope is expected to collect a petabyte (PB) of data over course of five years, which is a significantly larger data volume than any other CMB telescope in operation. The increase in data rate required radical changes to the SPT computing model both at the South Pole and University of Chicago. This paper will describe the overall integration of distributed storage and compute resources into a common interface, deployment of on-site data reduction and storage infrastructure, and the usage of the Open Science Grid (OSG) by the SPT collaboration.
© The Authors, published by EDP Sciences, 2019
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