Publications

F. D. Gaspoz, C. Kreuzer, K. Siebert, and D. Ziegler. A convergent time-space adaptive $dG(s)$ finite element method for parabolic problems motivated by equal error distribution. Submitted, 2017. [PUMA: a equation estimators, convergence, error finite methods, ians posteriori from:mhartmann adaptivity, element vorlaeufig heat] URL

F. D. Gaspoz, C. Kreuzer, K. Siebert, and D. Ziegler. A convergent time-space adaptive $dG(s)$ finite element method for parabolic problems motivated by equal error distribution. Submitted, 2017. [PUMA: a equation estimators, convergence, error finite methods, posteriori adaptivity, element vorlaeufig heat] URL

F. D. Gaspoz, P. Morin, and A. Veeser. A posteriori error estimates with point sources in fractional sobolev spaces. Numerical Methods for Partial Differential Equations, (33)4:1018--1042, 2017. [PUMA: a Dirac estimators, error finite fractional methods, ians posteriori from:mhartmann adaptivity, element spaces mass, Sobolev vorlaeufig] URL

F. D. Gaspoz, P. Morin, and A. Veeser. A posteriori error estimates with point sources in fractional sobolev spaces. Numerical Methods for Partial Differential Equations, (33)4:1018--1042, 2017. [PUMA: a Dirac estimators, error finite fractional methods, posteriori adaptivity, element spaces mass, Sobolev vorlaeufig] URL

Claus Braun, Sebastian Halder, and Hans-Joachim Wunderlich. A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units. Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'14), 443--454, 2014. [PUMA: myown linear error error-detection error-correction algebra fault-tolerance matrix-multiplication GPU metric matrix rounding GPGPU ABFT autonompous adaptivity rounding-error SimTech algorithm-based]

Daniel Wirtz, and Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, systems, nonlinear offline/online decomposition, parameterized projection estimates, model vorlaeufig reduction,] URL

Daniel Wirtz, and Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online decomposition, parameterized projection estimates, model anm reduction,] URL

Daniel Wirtz, and Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online from:mhartmann decomposition, parameterized projection estimates, model vorlaeufig reduction,] URL

Claus Braun. Algorithm-based fault tolerance for matrix operations on graphics processing units: analysis and extension to autonomous operation.. 2015. [PUMA: myown linear error error-detection algebra fault-tolerance simulation matrix-operations fault GPU GPGPU ABFT SimTech algorithm-based]

C. Kreutz, M.M. Bartolome Rodriguez, T. Maiwald, M. Seidl, H.E. Blum, L. Mohr, and J. Timmer. An error model for protein quantification. Bioinformatics, (23)20:2747--2753, Oxford University Press (OUP), September 2007. [PUMA: error protein model] URL