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  d2o: a distributed data object for parallel high-performance computing in Python

Steininger, T., Greiner, M., Beaujean, F., & Enßlin, T. (2016). d2o: a distributed data object for parallel high-performance computing in Python. Journal of Big Data, 3: 17, pp. 1-34. doi:10.1186/s40537-016-0052-5.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-A46A-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-22E3-6
Genre: Journal Article

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 Creators:
Steininger, Theo1, Author              
Greiner, Maksim2, Author              
Beaujean, Frederik, Author
Enßlin, Torsten2, Author              
Affiliations:
1Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              
2Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              

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Language(s): eng - English
 Dates: 2016-09-15
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1186/s40537-016-0052-5
Other: LOCALID: 2407189
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Title: Journal of Big Data
Source Genre: Journal
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Publ. Info: Cham, CH : SpringerOpen
Pages: - Volume / Issue: 3 Sequence Number: 17 Start / End Page: 1 - 34 Identifier: ISSN: 2196-1115