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Valentin Bruder

Valentin Bruder M.Sc.

Büro: VISUS-Gebäude 00.010

Universität Stuttgart
Allmandring 19
70569 Stuttgart

Telefonnummer: +49 (711) 685-88628

Telefaxnummer: +49 (711) 685-88620

E-Mail-Adresse: valentin.bruder@visus.uni-stuttgart.de

Research

I am working on Sonderforschungsbereich Trans­regio 161 (SFB-TRR 161), project A02: Quantifying Visual Computing Systems.

The goal of my research is to assess, model and predict performance of visual computing systems. I am especially interested in  algorithms from the domain of scientific visualization and their parallel execution on suitable hardware.

To accomplish this goal, I investigate the impact of different configurations, for both hardware and software, on the execution performance of visual computing algorithms. On this bases, I develop new approaches to model and ultimately predict performance behavior of those algorithms. 


Publications

2017

Prediction-based load balancing and resolution tuning for interactive volume raycasting
Bruder, Valentin; Frey, Steffen; Ertl, Thomas: Prediction-based load balancing and resolution tuning for interactive volume raycasting. In: Visual Informatics (2017).
[XPS] [PDF] [DOI] [OpenXML] [BibTeX] [Vortragsfolien] [Details]
Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition
Tkachev, Gleb; Frey, Steffen; Müller, Christoph; Bruder, Valentin; Ertl, Thomas: Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. In: Eurographics Symposium on Parallel Graphics and Visualization (2017).
[XPS] [PDF] [DOI] [OpenXML] [BibTeX] [Vortragsfolien] [Details]
Power Efficiency of Volume Raycasting on Mobile Devices
Heinemann, Moritz; Bruder, Valentin; Frey, Steffen; Ertl, Thomas: Power Efficiency of Volume Raycasting on Mobile Devices. In: EuroVis 2017 - Posters, 2017.

2016

Real-Time Performance Prediction and Tuning for Interactive Volume Raycasting
Bruder, Valentin; Frey, Steffen; Ertl, Thomas: Real-Time Performance Prediction and Tuning for Interactive Volume Raycasting. In: SIGGRAPH ASIA 2016 Symposium on Visualization, S. 7:1-7:8, 2016.

Supervised Student Theses

Open

  • Open topics for Bachelor/Master theses and projects on request!

Ongoing

  • Investigation of Volume Rendering Performance through Active Learning and Visual Analysis (Master)

Finished

  • GPU-Accelerated Rendering of Dense Light Fields (Research Module 2)
  • Power Efficiency for Volume Rendering on Mobile Devices (Research Module)
  • Investigation and Prediction of Distributed Volume Rendering Performance (Master)

Teaching

SS 2016

Image Synthesis 3V+1Ü

WS 2016/2017

Fachpraktikum "Practical Course Visual Computing"

SS 2017

Image Synthesis 3V+1Ü

WS 2017/2018

Computergraphik 3V+1Ü