Large-Scale Merging of Histograms using Distributed In-Memory Computing

Most high-energy physics analysis jobs are embarrassingly parallel except for the final merging of the output objects, which are typically histograms. Currently, the merging of output histograms scales badly. The running time for distributed merging depends not only on the overall number of bins but...

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Veröffentlicht in:	Journal of physics. Conference series Jg. 664; H. 9; S. 92003 - 92008
Hauptverfasser:	Blomer, Jakob, Ganis, Gerardo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 23.12.2015
Schlagworte:	Algorithms Data storage Distributed memory Histograms Nodes Physics Run time (computers)
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
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