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Studying the Milky Way Galaxy Using ParaHeap-k

Published: 01 September 2014 Publication History

Abstract

Dramatic increases in the amount and complexity of stellar data must be matched by new or refined algorithms that can help scientists make sense of this data and so better understand the universe. ParaHeap-k is a parallel cluster algorithm for analyzing big data that can potentially prove useful to astronomical research.

Cited By

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  • (2018)Scalable Solutions for Automated Single Pulse Identification and Classification in Radio AstronomyProceedings of the 47th International Conference on Parallel Processing10.1145/3225058.3225101(1-11)Online publication date: 13-Aug-2018
  • (2017)Case StudyProceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3148055.3149208(271-272)Online publication date: 5-Dec-2017
  • (2016)Investigating the Performance of Hardware Transactions on a Multi-Socket MachineProceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/2935764.2935796(121-132)Online publication date: 11-Jul-2016

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Information & Contributors

Information

Published In

cover image Computer
Computer  Volume 47, Issue 9
September 2014
92 pages

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 September 2014

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Cited By

View all
  • (2018)Scalable Solutions for Automated Single Pulse Identification and Classification in Radio AstronomyProceedings of the 47th International Conference on Parallel Processing10.1145/3225058.3225101(1-11)Online publication date: 13-Aug-2018
  • (2017)Case StudyProceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3148055.3149208(271-272)Online publication date: 5-Dec-2017
  • (2016)Investigating the Performance of Hardware Transactions on a Multi-Socket MachineProceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/2935764.2935796(121-132)Online publication date: 11-Jul-2016

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