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Data for 'Evaluating Static Analysis Techniques to Accelerate Data Race Detection for MPI RMA' = Daten für 'Evaluation statischer Analysemethoden zur Performanceoptimierung von Data-Race-Erkennung für MPI RMA'

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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.

Online
DOI: 10.18154/RWTH-2023-02710
URL: https://publications.rwth-aachen.de/record/953805/files/thesis_data.7z

Einrichtungen

  1. Lehrstuhl für Informatik 12 (Hochleistungsrechnen) (123010)
  2. IT Center (022000)


Inhaltliche Beschreibung (Schlagwörter)
HPC (frei) ; MPI (frei) ; MPI RMA (frei) ; data races (frei)

Kurzfassung
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.

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.

OpenAccess:
Volltext herunterladen 7Z
(zusätzliche Dateien)

Dokumenttyp
Dataset

Sprache
English

Interne Identnummern
RWTH-2023-02710
Datensatz-ID: 953805

Beteiligte Länder
Germany

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Bachelor Thesis  ;  ;  ;
Evaluating static analysis techniques to accelerate data race detection for MPI RMA
Aachen : RWTH Aachen University 1 Online-Ressource : Diagramme () [10.18154/RWTH-2023-05106] = Bachelorarbeit, RWTH Aachen University, 2023  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


OpenAccess ; GNU General Public License V3

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Fakultät für Mathematik, Informatik und Naturwissenschaften (Fak.1) > Fachgruppe Informatik
Dokumenttypen > Andere Dokumenttypen
Forschungsdaten > Datensätze
Publikationsserver / Open Access
Zentrale und weitere Einrichtungen
Öffentliche Einträge
Publikationsdatenbank
123010
022000

 Datensatz erzeugt am 2023-03-16, letzte Änderung am 2024-07-01


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