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Large equipment Clusters „HPC“

High performance computer „Gaisberg“

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University of Salzburg

Salzburg | Website


Short Description

High-performance cluster-based, Unix-based, MPI. The high-performance computer is essentially used for extremely extensive numerical (CPU-intensive) calculations.

Contact Person

Assoc.Univ.Prof. Dr. Rade Kutil

Research Services

Numerical computations

Methods & Expertise for Research Infrastructure

Research projects using the device are: data mining, image recognition, image encryption, medical data processing in the field of automatic detection of celiac disease, colon cancer, kidney cysts. Watermarking and encryption of image data and sequences. High-dimensional number theoretical numerics for partial differntial equations, integral equations and interpolation of functions. Simulation of processes, application of the method of density functionals in materials science.

Terms of Use

Please contact us via science.plus@plus.ac.at, or contact the responsible person for this section, mentioned in the contact field

Cooperation Partners

Slovak Academy of Sciences Josef-Stefan Institute Ljubljana
University of Linz
University of Innsbruck
University of Private Medicine Salzburg
Salzburg State Hospitals
Vienna General Hospital
University of Salzburg, Department of Materials Research and Physics Salzburg Research
University of Bologna

Reference Projects

Tree Trace - Biometric fingerprints of trees: Log tracing from forest to sawmill and early estimation of quality.
2018 - 2020
Andreas Uhl (PI)
FWF Project: I 3653-N30
http://www.wavelab.at/projects-content.shtml

counterfighter - Erkennung von gefälschten Medikamentenpackungen mit forensischen Methoden.
2015 - 2016
Andreas Uhl
geförderte Forschung: Auftraggeber e-Mundo GmbH Deutschland

Traceability of logs by means of digital images
2012-2015
Andreas Uhl (co-PI)
FWF TRP project 254
http://wavelab.at/project-treebio.shtml

Reference Publications

Low Quality and Recognition of Image Content
Heinz Hofbauer, Florent Autrusseau, and Andreas Uhl, in IEEE Transactions on Multimedia N:, 2021.
Open Access: 10.1109/TMM.2021.3103394

Towards Match-on-Card Finger Vein Recognition.
Michael Linortner, Andreas Uhl.
Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security, 2021.
http://wavelab.at/publications.shtml


VeinPLUS+: A Publicly Available and Free Software Framework for Vein Recognition.
Michael Linortner, Andreas Uhl.
2021 International Conference of the Biometrics Special Interest Group (BIOSIG), 2021.
http://wavelab.at/publications.shtml


On the Relevance of Minutiae Count and Distribution for Finger Vein Recognition Accuracy.
Michael Linortner, Andreas Uhl.
2021 International Conference of the Biometrics Special Interest Group (BIOSIG), 2021.
http://wavelab.at/publications.shtml


Christof Kauba, Simon Kirchgasser, Vahid Mirjalili, Arun Ross, Andreas Uhl.
In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB2020), pp. 1-8,
Houston, Texas, USA, September 28 - October 1, 2020.
http://wavelab.at/publications.shtml


Towards an object oriented programming framework for parallel matrix algorithms.
2016
R. Kutil
Performance Computing & Simulation (HPCS), Innsbruck, 2016,
pp. 776-783. doi: 10.1109/HPCSim.2016.7568413


Towards the applicability of biometric wood log traceability using digital log end images
2015
Rudolf Schraml, Johann Charwat-Pessler, Alexander Petutschnigg, Andreas Uhl
Computers and Electronics in Agriculture 119, pp. 112-122,
http://wavelab.at/publications.shtml


A Scale- and Orientation-Adaptive Extension of Local Binary Patterns for Texture Classification
2015
Sebastian Hegenbart, Andreas Uhl
Pattern Recognition 48:8, pp. 2633-2644, Elsevier,
http://wavelab.at/publications.shtml


Validation and Reliability of the Discriminative Power of Geometric Wood Log End Features.
2015
Rudolf Schraml, Alexander Petutschnigg, Andreas Uhl
In Proceedings of the IEEE International Conference on Image Processing (ICIP'15)


Tree Log Identification Based on Digital Cross-Section
Images of Log Ends Using Fingerprint and Iris Recognition Methods
2015
Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl
In Proceedings of the 16th International Conference on Computer Analysis
of Images and Patterns (CAIP'15), pp. 752-765, LNCS, Springer Verlag


Experimental Analysis Regarding the Influence of Iris Segmentation on the Recognition Rate
2016
Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun, and Andreas Uhl
IET Biometrics, pp. 12, Institution of Engineering and Technology
(http://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0069)


Fingerprint Recognition under the Influence of Sensor Ageing,
2016
Christof Kauba and Andreas Uhl,
Proceedings of the 4th International Workshop on Biometrics and Forensics (IWBF'16),


Robustness Evaluation of Hand Vein Recognition Systems,
2015
Christof Kauba and Andreas Uhl,
Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'15),
http://subs.emis.de/LNI/Proceedings/Proceedings245/183.pdf

Contact

Assoc.Univ.Prof. Dr. Rade Kutil
FB Computerwissenschaften
0043 662 8044 6306
Rade.Kutil@plus.ac.at
https://www.plus.ac.at/aihi/der-fachbereich/departments/cvml/

Location

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