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001     953805
005     20240701083512.0
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-2023-02710
037 _ _ |a RWTH-2023-02710
041 _ _ |a English
100 1 _ |0 P:(DE-82)958640
|a Oraji, Yussur Mustafa
|b 0
|u rwth
245 _ _ |a Data for 'Evaluating Static Analysis Techniques to Accelerate Data Race Detection for MPI RMA'
246 _ 3 |a Daten für 'Evaluation statischer Analysemethoden zur Performanceoptimierung von Data-Race-Erkennung für MPI RMA'
|y German
260 _ _ |c 2023
336 7 _ |2 BibTeX
|a MISC
336 7 _ |0 PUB:(DE-HGF)32
|2 PUB:(DE-HGF)
|a Dataset
|b dataset
|m dataset
|s 1684831660_22830
336 7 _ |0 26
|2 EndNote
|a Chart or Table
336 7 _ |2 DataCite
|a Dataset
336 7 _ |2 ORCID
|a DATA_SET
336 7 _ |2 DINI
|a ResearchData
500 _ _ |a This dataset is licensed under the GNU General Public License v3 or later. Explicitly excluded from this is the data in the folders LLVMPass\llvm-newpass and LLVMPass\MUST. The data in the folder LLVMPass\llvm-newpass is licensed under the Apache License v2.0 with LLVM Exceptions. The data in the folder LLVMPass\MUST is licensed under the MUST license. Details about these licenses are included in the respective folders.
520 _ _ |a This is the Dataset corresponding to "Evaluating Static Analysis Techniques to Accelerate Data Race Detection for MPI RMA" (RWTH-2023-05106). Most notably, this includes the source code for the optimization methods presented in the thesis, as well as the Docker container script required to reproduce the correctness results.
520 _ _ |a While the contained scripts are also capable of reproducing the performance results, they are expected to be run on the RWTH CLAIX-18 cluster. The reproduction steps are included in the thesis' appendix. Please note that the data is intended to be used on Linux systems only.
591 _ _ |a Germany
653 _ 7 |a HPC
653 _ 7 |a MPI
653 _ 7 |a MPI RMA
653 _ 7 |a data races
700 1 _ |0 P:(DE-82)IDM05431
|a Schwitanski, Simon
|b 1
|u rwth
787 0 _ |0 RWTH-2023-05106
|a Oraji, Yussur Mustafa et.al.
|d Aachen, 2023
|i RelatedTo
|t Evaluating Static Analysis Techniques to Accelerate Data Race Detection for MPI RMA
856 4 _ |u https://publications.rwth-aachen.de/record/953805/files/Rechteeinraeumung_953805.pdf
856 4 _ |u https://publications.rwth-aachen.de/record/953805/files/thesis_data.7z
|y OpenAccess
909 C O |o oai:publications.rwth-aachen.de:953805
|p openaire
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910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM05431
|a RWTH Aachen
|b 1
|k RWTH
914 1 _ |y 2023
915 _ _ |0 LIC:(DE-HGF)GPL
|2 HGFVOC
|a GNU General Public License V3
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
920 1 _ |0 I:(DE-82)123010_20140620
|k 123010
|l Lehrstuhl für Informatik 12 (Hochleistungsrechnen)
|x 0
920 1 _ |0 I:(DE-82)022000_20140101
|k 022000
|l IT Center
|x 1
980 _ _ |a dataset
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-82)123010_20140620
980 _ _ |a I:(DE-82)022000_20140101
980 1 _ |a FullTexts


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