Defining a Formal Semantic for Parallel Patterns in the Palladio Component Model Using Hierarchical Queuing Petri Nets. In Henry Muccini, Paris Avgeriou, Barbora Buhnova, Javier Camara, Mauro Caporuscio, Mirco Franzago, Anne Koziolek, Patrizia Scandurra, Catia Trubiani, Danny Weyns, and Uwe Zdun (Eds.), Software Architecture, 381--394, Springer International Publishing, Cham, 2020. [PUMA: HQPN myown parallel patterns performance prediction]
Towards a parallel template catalogue for software performance predictions. Proceedings of the 13th European Conference on Software Architecture, ECSA 2019, Paris, France, September 9-13, 2019, Companion Proceedings (Proceedings Volume 2),, 18--21, 2019. [PUMA: catalogue myown parallel performance prediction spe template] URL
Performance-influencing Factors for Parallel and Algorithmic Problems in Multicore Environments: Work-In-Progress Paper. Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 21--24, 2019. [PUMA: Performance-influencing factors multicore parallel performance prediction spe]
Tools for High Performance Computing 2015. In Andreas Knüpfer, Tobias Hilbrich, Christoph Niethammer, José Gracia, Wolfgang E. Nagel, and Michael M. Resch (Eds.), Springer, 2016. [PUMA: debugging hlrs parallel performance programming spmt toosl] URL
Tools for High Performance Computing 2016. Springer Berlin Heidelberg, 2017. [PUMA: debugging hlrs myown parallel performance programming spmt tools]
Optimized Force Calculation of Molecular Dynamics Simulations for the Intel Xeon Phi. In Jesper Larsson Träff, Sascha Hunold, and Francesco Versaci (Eds.), Euro-Par 2015: Parallel Processing, (9233)Vienna, Austria, August 2015. [PUMA: HLRS SCOPE absolute and calculation cell colored core distributed dynamic force gather intel interaction law linked memory molecular myown newton operation optimization parallel parallelization performance phi processing range scatter shared short site third xeon yellow]
Tools for High Performance Computing 2014. In Christoph Niethammer, José Gracia, Andreas Knüpfer, Michael M. Resch, and Wolfgang E. Nagel (Eds.), Springer Berlin Heidelberg, 2015. [PUMA: debugging hlrs myown parallel performance programming spmt tools]
EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: Analysis Computing EXCESS Energy-Efficiency Monitoring Parallel Performance myown]