MATOG: array layout auto-tuning for CUDA

N Weber, M Goesele - ACM Transactions on Architecture and Code …, 2017 - dl.acm.org
Optimal code performance is (besides correctness and accuracy) the most important
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 …

Adaptive GPU array layout auto-tuning

N Weber, M Goesele - Proceedings of the ACM Workshop on Software …, 2016 - dl.acm.org
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 …

Reconstruction of pairwise interactions using energy-based models

C Feinauer, C Lucibello - Mathematical and Scientific …, 2022 - proceedings.mlr.press
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 …

[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 …

Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance

L Knight, P Štefanič, M Cigale, AC Jones… - Future Generation …, 2019 - Elsevier
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 …

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 …