High performance computer „Gaisberg“

University of Salzburg

Salzburg | Website

Large equipment

Short Description

High performance cluster, Unix-based, MPI. The high-performance computer is used for extensive numerical computations.

Contact Person

Professor 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 area of automatic detection of celiac disease, colorectal cancer, renal cysts. Watermarking and encryption of image data and sequences. High-dimensional number theoretical numerical simulations for partial differential equations, integrals, and interpolation of functions. Simulation of processes, application of the method of density functional theory in material science.

Allocation to Core Facility

High-Performance-Computing Equipment

Professor Rade Kutil
Fachbereich Computerwissenschaften
0043 662 8044 6306
Please contact us via science.plus@sbg.ac.at, or contact the responsible person for this section, mentioned in the contact field
Slovakian Academy of Sciences
Josef-Stefan Institute Ljubljana
University Linz
University Innsbruck
Private Medical University Salzburg
Salzburger Landeskliniken
Allgemeines Krankenhaus Wien
Department of Chemistry and Physics of Materials, University Salzburg
Salzburg Research
University Bologna
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

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
Andreas Uhl (co-PI)
FWF TRP project 254
"Towards an object oriented programming framework for parallel matrix algorithms," 2016 International Conference on High
R. Kutil
Performance Computing & Simulation (HPCS), Innsbruck, 2016, pp.
776-783. doi: 10.1109/HPCSim.2016.7568413

"On rotational pre-alignment for tree log identification using methods inspired by fingerprint and iris recognition."
Schraml, Rudolf, et al.
Machine Vision and Applications 27.8 (2016): 1289-1298.

"On the feasibility of classification-based product package authentication." In IEEE Workshop on Information Forensics and Security (WIFS'17), 2017.
Rudolf Schraml, Luca Debiasi, Christof Kauba, Andreas Uhl.

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

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

Validation and Reliability of the Discriminative Power of Geometric Wood Log End Features
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
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
Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun, and Andreas Uhl
IET Biometrics, pp. 12, Institution of Engineering and Technology

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

Robustness Evaluation of Hand Vein Recognition Systems
Christof Kauba and Andreas Uhl
Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'15)