Selected publications:
- B. J. N. Wylie, J. Giménez, C. Feld, M. Geimer, G. Llort, S. Mendez, E. Mercadal, A. Visser, M. García-Gasulla: 15+ years of joint parallel application performance analysis/tools training with Scalasca/Score-P and Paraver/Extrae toolsets. Future generation computer systems, 162, Article No. 107472, 2025. [doi:10.1016/j.future.2024.07.050]
- D. Böhme, M. Geimer, L. Arnold, F. Voigtlaender, F. Wolf: Identifying the Root Causes of Wait States in Large-Scale Parallel Applications. ACM Transactions on Parallel Computing, 3(2), Article No. 11, pp. 1–24, 2016. [doi:10.1145/293466]
- D. Böhme, F. Wolf, B. R. de Supinski, M. Schulz, M. Geimer: Scalable Critical-Path Based Performance Analysis. 2012 IEEE 26th International Parallel and Distributed Processing Symposium, Shanghai, China, pp. 1330-1340, 2012. [doi:10.1109/IPDPS.2012.120]
- M. Geimer, F. Wolf, B. J. N. Wylie, E. Ábrahám, D. Becker, B. Mohr: The Scalasca performance toolset architecture. Concurrency and computation, 22(6), pp. 702–719, 2010. [doi:10.1002/cpe.1556]
- M. Geimer, F. Wolf, B. J. N. Wylie, B. Mohr: A scalable tool architecture for diagnosing wait states in massively parallel applications. Parallel computing, 35(7), pp. 375–388, 2009. [10.1016/j.parco.2009.02.003]