Martin Siggel

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Neural Network Training

Computational Geometry

Optimization Methods

Gpu Accelerated

Top Venues

Math. Comput. Sci.

Publications

Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating neural network training with distributed asynchronous and selective optimization (DASO). J. Big Data 9 (1) (2022)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO). CoRR (2021)
Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. IEEE BigData (2020)
Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. CoRR (2020)
Martin Siggel, Jan Kleinert, Tobias Stollenwerk, Reinhold Maierl
TiGL: An Open Source Computational Geometry Library for Parametric Aircraft Design. Math. Comput. Sci. 13 (3) (2019)
Martin Siggel, Jan Kleinert, Tobias Stollenwerk, Reinhold Maierl
TiGL - An Open Source Computational Geometry Library for Parametric Aircraft Design. CoRR (2018)