001     850679
005     20210129234605.0
024 7 _ |a 2128/19472
|2 Handle
037 _ _ |a FZJ-2018-04487
041 _ _ |a English
100 1 _ |a Lührs, Sebastian
|0 P:(DE-Juel1)7757
|b 0
|e Corresponding author
|u fzj
111 2 _ |a NEST Conference 2018
|g NEST2018
|c Ås
|d 2018-06-25 - 2018-06-26
|w Norway
245 _ _ |a Benchmarking and parameter studies with JUBE
260 _ _ |c 2018
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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520 _ _ |a Application benchmarking and parameter study execution usually involves numerous tasks, including several runs of different applications. Several steps are needed to prepare, execute and analyse each individual parameter combination. This process can be very error prone and time consuming if executed manually. Script solutions can overcome this problem but are often tightly coupled to an individual application.This talk should give an introduction to the JUBE benchmarking environment, which offers a generic approach for benchmarking and parameter study scenarios. It will introduce the idea of a parameter driven workflow architecture. The environment allows users to create a documented, reproducible application execution setup. JUBE can be used to orchestrate a workflow with multiple runs of a NEST simulation that are then compared and analysed in a later stage.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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909 C O |o oai:juser.fz-juelich.de:850679
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|1 G:(DE-HGF)POF3-510
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|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2018
915 _ _ |a OpenAccess
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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