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Group of Computer Architecture / AGRA | Computer Science | Faculty 03 | University of Bremen

Rune Krauss, M.Sc.


My research and teaching interests include logic synthesis and formal verification like equivalence checking of VLSI circuits, especially using decision diagrams. The main goals of my work are their algorithmic improvement and the development of novel graph-based data structures to increase the efficiency of CAD systems for integrated circuits in technical systems.

Research Staff

+49 421 218-64445

MZH 4260

krauss@uni-bremen.de

Speichereffizienter Aufbau von binären Entscheidungsdiagrammen
Author: Rune Krauss
Pubisher: Springer
Format: DOI: 10.1007/978-3-658-43121-1, eBook, Softcover (2023)

Improving Virtual Prototype Driven Hardware Optimization by Merging Instruction Sequences
Author: Jan Zielasko, Rune Krauss, Marcel Merten, Rolf Drechsler
Conference: International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
Pdf | Reference: Kielce, Poland, 2024

Scalable Neuroevolution of Ensemble Learners
Author: Marcel Merten, Rune Krauss, Rolf Drechsler
Conference: The Genetic and Evolutionary Computation Conference (GECCO)
Pdf | Reference: Lisbon, Portugal, 2023

Efficient Binary Decision Diagram Manipulation by Reducing the Number of Intermediate Nodes
Author: Rune Krauss, Mehran Goli, Rolf Drechsler
Conference: 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
Pdf | Reference: Tallinn, Estonia, 2023

EDDY: A Multi-Core BDD Package With Dynamic Memory Management and Reduced Fragmentation
Author: Rune Krauss, Mehran Goli, Rolf Drechsler
Conference: Asia and South Pacific Design Automation Conference (ASP-DAC)
Pdf | Reference: Tokyo, Japan, 2023

ALF – A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks
Author: Rune Krauss, Marcel Merten, Mirco Bockholt, Rolf Drechsler
Conference: The Genetic and Evolutionary Computation Conference (GECCO)
Pdf | Reference: Lille, France, 2021

Efficient Machine Learning through Evolving Combined Deep Neural Networks
Author: Rune Krauss, Marcel Merten, Mirco Bockholt, Saman Fröhlich, Rolf Drechsler
Conference: Genetic and Evolutionary Computation Conference (GECCO)
Pdf | Reference: Electronic-only, 2020

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