Simulating anomalous diffusion on graphics processing units. - Karl-Heinz Hoffmann 002; Michael Hofmann 002; Jens Lang 002; Gudula Rünger; Steffen Seeger (IPDPS Workshops, 2010)

Beschleunigung physikalischer Simulationen durch Grafikprozessoren (Accelerating Physical Simulations Using Graphics Processing Units). - Karl-Heinz Hoffmann 002; Michael Hofmann 002; Jens Lang 002; Gudula Rünger; Steffen Seeger (it Inf. Technol., 2011)

Array-Based Reduction Operations for a Parallel Adaptive FEM. - Martina Balg; Jens Lang 002; Arnd Meyer; Gudula Rünger (Facing the Multicore-Challenge, 2012)

Automatic Tuning of the Fast Multipole Method Based on Integrated Performance Prediction. - Holger Dachsel; Michael Hofmann 002; Jens Lang 002; Gudula Rünger (HPCC-ICESS, 2012)

High-Resolution Power Profiling of GPU Functions Using Low-Resolution Measurement. - Jens Lang 002; Gudula Rünger (Euro-Par, 2013)

Dynamic Distribution of Workload Between CPU and GPU for a Parallel Conjugate Gradient Method in an Adaptive FEM. - Jens Lang 002; Gudula Rünger (ICCS, 2013)

An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration. - Jens Lang 002; Gudula Rünger (J. Parallel Distributed Comput., 2014)

Towards energy-efficient linear algebra with an ATLAS library tuned for energy consumption. - Jens Lang 002; Gudula Rünger; Paul Stocker (HPCS, 2015)

Data-aware tuning of scientific applications with model-based autotuning. - Jens Lang 002 (Concurr. Comput. Pract. Exp., 2017)

An embarrassingly parallel algorithm for random walk simulations on random fractal structures. - Jens Lang 002; Janett Prehl (J. Comput. Sci., 2017)

Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library. - Thomas Jakobs; Jens Lang 002; Gudula Rünger; Paul Stocker (Future Gener. Comput. Syst., 2018)