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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Vydané v:	Journal of physics. Conference series Ročník 664; číslo 9; s. 92003 - 92008
Hlavní autori:	Blomer, Jakob, Ganis, Gerardo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 23.12.2015
Predmet:	Algorithms Data storage Distributed memory Histograms Nodes Physics Run time (computers)
ISSN:	1742-6588, 1742-6596
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