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dc.contributor.author Kotulla, Ralf
dc.contributor.author Gopu, Arvind
dc.contributor.author Hayashi, Soichi
dc.date.accessioned 2016-08-24T15:22:32Z
dc.date.available 2016-08-24T15:22:32Z
dc.date.issued 2016-08-08
dc.identifier.citation Kotulla, R.; Gopu, A.; Hayashi, S.; 2016. Fast and flexible big data processing at LSST data rates using existing, shared-use hardware. Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy III, 99131U (August 8, 2016); doi:10.1117/12.2233527; http://dx.doi.org/10.1117/12.2233527 en
dc.identifier.uri http://hdl.handle.net/2022/20962
dc.language.iso en_US en
dc.rights Except where otherwise noted, the contents of this presentation are copyright of the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share - to copy, distribute and transmit the work and to remix - to adapt the work under the following conditions: attribution - you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0 en
dc.title RabbitQR: Fast and flexible Big Data Processing at LSST data rates using existing, shared-use hardware en
dc.type Article en
dc.identifier.doi 10.1117/12.2233527


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