Michael Burger

Orcid: 0000-0002-1462-2543

Affiliations:
  • Darmstadt University of Technology, Germany


According to our database1, Michael Burger authored at least 14 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
SimAnMo - A parallelized runtime model generator.
Concurr. Comput. Pract. Exp., 2022

2021
qTESLA: Practical Implementations of a Quantum Attack Resistant Signature Scheme.
IACR Cryptol. ePrint Arch., 2021

A new Parallelization for p3Enum and Parallelized Generation of Optimized Pruning Functions.
IACR Cryptol. ePrint Arch., 2021

2020
Developing Models for the Runtime of Programs With Exponential Runtime Behavior.
Proceedings of the 2020 IEEE/ACM Performance Modeling, 2020

2019
p3Enum: A New Parameterizable and Shared-Memory Parallelized Shortest Vector Problem Solver.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Parallelizing the Hybrid Lattice-Reduction and Meet-in-the-Middle Attack.
Proceedings of the 2018 IEEE International Conference on Computational Science and Engineering, 2018

Exploring the Performance Envelope of the LLL Algorithm.
Proceedings of the 2018 IEEE International Conference on Computational Science and Engineering, 2018

2017
Memory-Efficient and Parallel Simulation of Super Carbon Nanotubes.
PhD thesis, 2017

Methods to model and simulate super carbon nanotubes of higher order.
Concurr. Comput. Pract. Exp., 2017

Extending Perfect Spatial Hashing to Index Tuple-based Graphs Representing Super Carbon Nanotubes.
Proceedings of the International Conference on Computational Science, 2017

2016
Compressed symmetric graphs for the simulation of super carbon nanotubes.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015
Exploiting Structural Properties During Carbon Nanotube Simulation.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

A Unified and Memory Efficient Framework for Simulating Mechanical Behavior of Carbon Nanotubes.
Proceedings of the International Conference on Computational Science, 2015

An Improved Algorithm for Simulating the Mechanical Behavior of Super Carbon Nanotubes.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015


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