A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D. Richters, M. Lass, A. Walther, C. Plessl, T. Kühne, Communications in Computational Physics 25 (2019) 564–585.

Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
M. Lass, T. Kühne, C. Plessl, Embedded Systems Letters 10 (2018) 33–36.

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.

Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs
H. Riebler, M. Lass, R. Mittendorf, T. Löcke, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (2017) 24:1-24:23.

Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension
M. Lass, D. Leibenger, C. Sorge, in: Proc. 41st Conference on Local Computer Networks (LCN), IEEE, 2016.

Using Approximate Computing in Scientific Codes
M. Lass, T. Kühne, C. Plessl, in: Workshop on Approximate Computing (AC), 2016.

Localization and Analysis of Code Paths Suitable for Acceleration using Approximate Computing
M. Lass, Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing, Paderborn University, Paderborn, 2015.

Sichere Speicherung vertraulicher Daten in verteilten Versionskontrollsystemen
M. Lass, Sichere Speicherung Vertraulicher Daten in Verteilten Versionskontrollsystemen, Paderborn University, Paderborn, 2013.