DocumentCode :
69454
Title :
Scaling Astroinformatics: Python + Automatic Parallelization
Author :
Muller, Sven Christian ; Alonso, Gustavo ; Csillaghy, Andre
Author_Institution :
ETH Zurich, Zürich, Switzerland
Volume :
47
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
41
Lastpage :
47
Abstract :
Pydron, a system that bridges the gap between interactive data analysis and scalable computing, enables astronomers to process large datasets with Python without the complexities of managing parallel processing code.
Keywords :
astronomy computing; data analysis; high level languages; interactive systems; parallel processing; Pydron; Python; astroinformatics; automatic parallelization; interactive data analysis; scalable computing; Astronomy; Big data; Cloud computing; Cluster approximation; Extraterrestrial measurements; Informatics; Information analysis; Multicore processing; Parallel processing; astroinformatics; big data; cloud computing; cluster computing; data analysis; scientific data processing;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2014.262
Filename :
6898733
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=69454
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