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