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037 | _ | _ | |a FZJ-2019-00940 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Kunkel, Martin Julian |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
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 |2 ORCID |
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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. |
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700 | 1 | _ | |a Mendez, Sandra |0 P:(DE-HGF)0 |b 7 |
773 | _ | _ | |a 10.1007/978-3-030-02465-9_4 |
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