MATOG: array layout auto-tuning for CUDA
Optimal code performance is (besides correctness and accuracy) the most important
objective in compute intensive applications. In many of these applications, Graphic …
objective in compute intensive applications. In many of these applications, Graphic …
hoDCA: higher order direct-coupling analysis
M Schmidt, K Hamacher - BMC bioinformatics, 2018 - Springer
Background Direct-coupling analysis (DCA) is a method for protein contact prediction from
sequence information alone. Its underlying principle is parameter estimation for a …
sequence information alone. Its underlying principle is parameter estimation for a …
Adaptive GPU array layout auto-tuning
Optimal performance is an important goal in compute intensive applications. For GPU
applications, this requires a lot of experience and knowledge about the algorithms and the …
applications, this requires a lot of experience and knowledge about the algorithms and the …
[PDF][PDF] Statistische Modelle und Inferenz der strukturellen Biophysik
M Schmidt - 2022 - d-nb.info
Zusammenfassung Mathematische Modelle sind essentielle Werkzeuge für die
Strukturanalyse von Biomolekülen und ergänzen Experimente. Dank enorm steigender …
Strukturanalyse von Biomolekülen und ergänzen Experimente. Dank enorm steigender …
Reconstruction of pairwise interactions using energy-based models
Pairwise models like the Ising model or the generalized Potts model have found many
successful applications in fields like physics, biology, and economics. Closely connected is …
successful applications in fields like physics, biology, and economics. Closely connected is …
Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance
Abstract SWITCH (Software Workbench for Interactive, Time Critical and Highly self-adaptive
cloud applications) allows for the development and deployment of real-time applications in …
cloud applications) allows for the development and deployment of real-time applications in …
GPGPU implementation of information theoretic algorithms for the analysis of granular layer neurons
M Nair, P Madhu, V Mohan… - … on Computing and …, 2015 - ieeexplore.ieee.org
Methods originally developed for communication systems are widely used in computational
neuroscience to understand the information representation and processing performed by …
neuroscience to understand the information representation and processing performed by …