Schlebusch, F., Muller, Y., Wienke, S., Miller, J. and Muller, M.S. (2018) “PIn T: Pattern Instrumentation Tool for Analyzing and Classifying HPC Applications”, in. doi:10.1109/LLVM-HPC.2018.8639275.
Chicago Manual of Style 17th edition (full note)Schlebusch, Fabian, Yannik Muller, Sandra Wienke, Julian Miller, and Matthias S. Muller. “PIn T: Pattern Instrumentation Tool for Analyzing and Classifying HPC Applications”. In . https://doi.org/10.1109/LLVM-HPC.2018.8639275.
American Psychological Association 7th editionSchlebusch, F., Muller, Y., Wienke, S., Miller, J., & Muller, M. S. (2018, November 1). PIn T: Pattern Instrumentation Tool for Analyzing and Classifying HPC Applications. https://doi.org/10.1109/LLVM-HPC.2018.8639275
Modern Language Association 9th editionSchlebusch, F., Y. Muller, S. Wienke, J. Miller, and M. S. Muller. PIn T: Pattern Instrumentation Tool for Analyzing and Classifying HPC Applications. 2018, https://doi.org/10.1109/LLVM-HPC.2018.8639275.
ISO-690 (author-date, Deutsch)SCHLEBUSCH, Fabian, Yannik MULLER, Sandra WIENKE, Julian MILLER and Matthias S. MULLER, 2018. PIn T: Pattern Instrumentation Tool for Analyzing and Classifying HPC Applications. In: . 1 November 2018