Hauptseite > Publikationsdatenbank > OMPT: An OpenMP Tools Application Programming Interface for Performance Analysis > print

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005     20250314084109.0
024 7 _ |a 10.1007/978-3-642-40698-0_13
|2 doi
037 _ _ |a FZJ-2013-04676
041 _ _ |a English
100 1 _ |a Eichenberger, Alexandre E.
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
111 2 _ |a 9th International Workshop on OpenMP
|w Australia
|c Canberra
|d 2013-09-16 - 2013-09-18
|g IWOMP 2013
245 _ _ |a OMPT: An OpenMP Tools Application Programming Interface for Performance Analysis
260 _ _ |a Berlin/Heidelberg
|c 2013
|b Springer
295 1 0 |a OpenMP in the Era of Low Power Devices and Accelerators
300 _ _ |a 171 - 185
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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336 7 _ |a Conference Paper
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336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a conferenceObject
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336 7 _ |a INPROCEEDINGS
|2 BibTeX
490 0 _ |a LNCS
|v 8122
520 _ _ |a A shortcoming of OpenMP standards to date is that they lack an application programming interface (API) to support construction of portable, efficient, and vendor-neutral performance tools. To address this issue, the tools working group of the OpenMP Language Committee has designed OMPT—a performance tools API for OpenMP. OMPT enables performance tools to gather useful performance information from applications with low overhead and to map this information back to a user-level view of applications. OMPT provides three principal capabilities: (1) runtime state tracking, which enables a sampling-based performance tool to understand what an application thread is doing, (2) callbacks and inquiry functions that enable sampling-based performance tools to attribute application performance to complete calling contexts, and (3) additional callback notifications that enable construction of more full-featured monitoring capabilities. The earnest hope of the tools working group is that OMPT be adopted as part of the OpenMP standard and supported by all standard-compliant OpenMP implementations.
536 _ _ |a 411 - Computational Science and Mathematical Methods (POF2-411)
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536 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
|c ATMLPP
|x 1
700 1 _ |a Mellor-Crummey, John
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Schulz, Martin
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wong, Michael
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Copty, Nawal
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Dietrich, Robert
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Liu, Xu
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Loh, Eugene
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Lorenz, Daniel
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773 _ _ |a 10.1007/978-3-642-40698-0_13
856 4 _ |u https://juser.fz-juelich.de/record/138577/files/FZJ-2013-04676.pdf
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909 C O |o oai:juser.fz-juelich.de:138577
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910 1 _ |a Forschungszentrum Jülich GmbH
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913 2 _ |a DE-HGF
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913 1 _ |a DE-HGF
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914 1 _ |y 2013
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a contrib
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980 _ _ |a UNRESTRICTED
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980 _ _ |a I:(DE-Juel1)JSC-20090406

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