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| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2020-03219 |
| 037 | _ | _ | |a RWTH-2020-03219 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Thärigen, Isabel |b 0 |u rwth |
| 245 | _ | _ | |a Identification of characteristic performance behavior in data race detection |c Isabel Thärigen |h print, online |
| 246 | _ | 3 | |a Analyse und Identifikation von charakteristischem Performanz-Verhalten bei der Erkennung von Data Races |y German |
| 260 | _ | _ | |a Aachen |c 2020 |
| 260 | _ | _ | |c 2021 |
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| 500 | _ | _ | |a Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2021 |
| 502 | _ | _ | |a Bachelorarbeit, RWTH Aachen University, 2020 |b Bachelorarbeit |c RWTH Aachen University |d 2020 |g Fak01 |o 2020-03-02 |
| 591 | _ | _ | |a Germany |
| 653 | _ | 7 | |a Benchmark |
| 653 | _ | 7 | |a Data Race Detection |
| 653 | _ | 7 | |a HPC |
| 653 | _ | 7 | |a OpenMP |
| 700 | 1 | _ | |0 P:(DE-82)IDM01074 |a Müller, Matthias Stefan |b 1 |e Thesis advisor |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)128244 |a Schulz, Martin |b 2 |e Thesis advisor |
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