eeClust: Energy-Efficient Cluster Computing. - Timo Minartz; Daniel Molka; Michael Knobloch; Stephan Krempel; Thomas Ludwig 002; Wolfgang E. Nagel; Bernd Mohr; Hugo Falter (CHPC, 2010)

Managing hardware power saving modes for high performance computing. - Timo Minartz; Thomas Ludwig 002; Michael Knobloch; Bernd Mohr (IGCC, 2011)

Electronic poster: eeclust: energy-efficient cluster computing. - Michael Knobloch; Timo Minartz; Daniel Molka; Stephan Krempel; Thomas Ludwig 002; Bernd Mohr (SC Companion, 2011)

Measuring power consumption on IBM Blue Gene/P. - Michael Hennecke; Wolfgang Frings; Willi Homberg; Anke Zitz; Michael Knobloch; Hans Böttiger (Comput. Sci. Res. Dev., 2012)

Determine energy-saving potential in wait-states of large-scale parallel programs. - Michael Knobloch; Bernd Mohr; Timo Minartz (Comput. Sci. Res. Dev., 2012)

Tool Environments to Measure Power Consumption and Computational Performance. - Timo Minartz; Daniel Molka; Julian M. Kunkel; Michael Knobloch; Michael Kuhn 003; Thomas Ludwig 002 (Handbook of Energy-Aware and Green Computing, 2012)

Characterizing Performance of Applications on Blue Gene/Q. - Paul F. Baumeister; Hans Boettiger; Thorsten Hater; Michael Knobloch; Thilo Maurer; Andrea Nobile; Dirk Pleiter; Nicolas Vandenbergen (PARCO, 2013)

Energy-Aware High Performance Computing - A Survey. - Michael Knobloch (Adv. Comput., 2013)

Early experiences with scientific applications on the IBM Blue Gene/Q supercomputer. - Sadaf R. Alam; Constantine Bekas; Hans Boettiger; Alessandro Curioni; Gilles Fourestey; Willi Homberg; Michael Knobloch; Teodoro Laino; Thilo Maurer; Bernd Mohr; Dirk Pleiter; Arwed Schiller; et al. (IBM J. Res. Dev., 2013)

Performance Measurement and Analysis of Transactional Memory and Speculative Execution on IBM Blue Gene/Q. - Jie Jiang; Peter Philippen; Michael Knobloch; Bernd Mohr (Euro-Par, 2014)

Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7. - Philipp Gschwandtner; Michael Knobloch; Bernd Mohr; Dirk Pleiter; Thomas Fahringer (PDP, 2014)

Mapping fine-grained power measurements to HPC application runtime characteristics on IBM POWER7. - Michael Knobloch; Maciej Foszczynski; Willi Homberg; Dirk Pleiter; Hans Böttiger (Comput. Sci. Res. Dev., 2014)

Tools and methods for measuring and tuning the energy efficiency of HPC systems. - Robert Schöne; Jan Treibig; Manuel F. Dolz; Carla Guillén; Carmen B. Navarrete; Michael Knobloch; Barry Rountree (Sci. Program., 2014)

How Many Threads will be too Many? On the Scalability of OpenMP Implementations. - Christian Iwainsky; Sergei Shudler; Alexandru Calotoiu; Alexandre Strube; Michael Knobloch; Christian H. Bischof; Felix Wolf 001 (Euro-Par, 2015)

Cube v4: From Performance Report Explorer to Performance Analysis Tool. - Pavel Saviankou; Michael Knobloch; Anke Visser; Bernd Mohr (ICCS, 2015)

Enabling callback-driven runtime introspection via MPI_T. - Marc-André Hermanns; Nathan T. Hjelm; Michael Knobloch; Kathryn M. Mohror; Martin Schulz 001 (EuroMPI, 2018)

Using performance analysis tools for parallel-in-time integrators - Does my time-parallel code do what I think it does? - Robert Speck; Michael Knobloch; Andreas Gocht; Sebastian Lührs (CoRR, 2019)

The MPI_T events interface: An early evaluation and overview of the interface. - Marc-André Hermanns; Nathan T. Hjelm; Michael Knobloch; Kathryn M. Mohror; Martin Schulz 001 (Parallel Comput., 2019)

Tools for GPU Computing - Debugging and Performance Analysis of Heterogenous HPC Applications. - Michael Knobloch; Bernd Mohr (Supercomput. Front. Innov., 2020)

Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework. - Elvis Rojas; Michael Knobloch; Nour Daoud; Esteban Meneses; Bernd Mohr (CLUSTER, 2022)

A Shim Layer for Transparently Adding Meta Data to MPI Handles. - Joachim Jenke; Michael Knobloch; Marc-André Hermanns; Simon Schwitanski (EuroMPI, 2023)