Publications

J. Manuel Cascón, Ricardo H. Nochetto, and Kunibert G. Siebert. Design and Convergence of AFEM in $H(div)$. Mathematical Models & Methods in Applied Sciences, (17)11:1849--1881, 2007. [PUMA: A convergence; error estimate; multigrid oscillation; posteriori preconditioning reduction; vorlaeufig] 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: a-posteriori decomposition, dynamical error estimates, kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, vorlaeufig] URL

Fernando D. Gaspoz, and Pedro Morin. Convergence rates for adaptive finite elements. IMA J. Numer. Anal., (29)4:917--936, Oxford University Press, 2009. [PUMA: a adaptive elliptic equations error estimator, mesh posteriori refinement, vorlaeufig]

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

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: ABFT GPGPU GPU SimTech adaptivity algebra algorithm-based autonompous error error-correction error-detection fault-tolerance linear matrix matrix-multiplication metric myown rounding rounding-error]

Alexander Schöll, Claus Braun, Michael A. Kochte, and Hans-Joachim Wunderlich. Low-Overhead Fault-Tolerance for the Preconditioned Conjugate Gradient Solver. Proceedings of the International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT'15), 60-65, 2015. [PUMA: ABFT CG PCG SimTech conjugate error error-correction error-detection fault fault-tolerance gradient linear myown preconditioned solver sparse system]

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 model protein] URL

C. Kreutz, M.M. B. 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 model] URL

T. Richter. Effective Visual Masking Techniques in JPEG2000. Data Compression Conference, 2008. DCC 2008, 540-540, March 2008. [PUMA: Gaussian;JPEG2000;Visual Masking allocation;visual coding;Mean coding;Visual coding;mean compression;Distortion compression;image compression;mean data error error;rate evaluation;Signal masking;Data measurement;Humans;Image measurement;Transform methods;JPEG2000;image methods;Performance resolution;Size square system;Generalized] URL

Thomas Richter. Effective Visual Masking Techniques in JPEG2000. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2876-2879, San Diego, CA, October 2008. [PUMA: Gaussian;JPEG2000;Visual Masking SSIM algorithm;multi-scale algorithm;statistical algorithm;wavelet allocation coding;Image coding;Visual coding;wavelet complexity compression compression;image data data;weighting error image index;rate masking masks;Codecs;Frequency;Humans;Image methods;Rate-distortion;Transform model;visual quality;Image quality;visual reconstruction;Mean square standard;low system;Generalized transforms;JPEG2000] URL