001     860154
005     20250317091731.0
024 7 _ |a 10.1007/978-3-030-02465-9_4
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024 7 _ |a 2128/21448
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024 7 _ |a WOS:000612998200005
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037 _ _ |a FZJ-2019-00940
041 _ _ |a English
100 1 _ |a Kunkel, Martin Julian
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111 2 _ |a International Conference on High Performance Computing
|g ISC
|c Frankfurt
|d 2018-06-24 - 2018-06-28
|w Germany
245 _ _ |a Tools for Analyzing Parallel I/O
260 _ _ |c 2018
|b Springer International Publishing
295 1 0 |a High Performance Computing
300 _ _ |a 49-70
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a book
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490 0 _ |a Lecture Notes in Computer Science
|v 11203
520 _ _ |a Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These issues call for sophisticated tools to capture, analyze, understand, and tune application I/O.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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700 1 _ |a Betke, Eugen
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700 1 _ |a Bryson, Matt
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700 1 _ |a Carns, Philip
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700 1 _ |a Francis, Rosemary
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700 1 _ |a Frings, Wolfgang
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700 1 _ |a Laifer, Roland
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700 1 _ |a Mendez, Sandra
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773 _ _ |a 10.1007/978-3-030-02465-9_4
856 4 _ |y OpenAccess
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910 1 _ |a University of ReadingReading, UK
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910 1 _ |a German Climate Computing Center (DKRZ), Hamburg Germany
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910 1 _ |a University of California, Santa Cruz, USA
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910 1 _ |a Argonne National Laboratory, Lemont, USA
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910 1 _ |a Ellexus Ltd., Cambridge, UK
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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910 1 _ |a Leibniz Supercomputing Centre (LRZ), München, Germany
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913 1 _ |a DE-HGF
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914 1 _ |y 2018
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