Publication list

Master's theses of year 2022

1. Aaron Söhnen. Quanten Fourier Transformation for Earth Observation. 10 2022.
   BibTeX Entry

   @misc{soeh22, author = {Aaron Söhnen}, title = {{Quanten} {Fourier} {Transformation} for {Earth} {Observation}}, year = {2022}, key = {soeh22}, month = {10}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Tobias Guggemos}, type = {Masterthesis}, }
2. Shu Chen. Breaking the Security of Optical PUFs through Deep Learning Techniques. 4 2022.
   BibTeX Entry

   @misc{chen22, author = {Shu Chen}, title = {{Breaking} the {Security} of {Optical} {PUFs} through {Deep} {Learning} {Techniques}}, year = {2022}, key = {chen22}, month = {4}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Prof. Dr. Dr. U. Rührmair}, type = {Masterthesis}, }
3. Jonas Dellinger. PhysCoin: A Physical Unclonable Cryptocurrency. 5 2022.
   BibTeX Entry

   @misc{dell22, author = {Jonas Dellinger}, title = {{PhysCoin:} A {Physical} {Unclonable} {Cryptocurrency}}, year = {2022}, key = {dell22}, month = {5}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Prof. Dr. Dr. U. Rührmair}, type = {Masterthesis}, }
4. Adrian Uffmann. Entwicklung leistungsfähiger RMA-Locks durch Portierung und Optimierung von NUMA-Algorithmen. 2 2022.
   BibTeX Entry

   @misc{uffm22, author = {Adrian Uffmann}, title = {{Entwicklung} leistungsfähiger {RMA-Locks} durch {Portierung} und {Optimierung} von {NUMA-Algorithmen}}, year = {2022}, key = {uffm22}, month = {2}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Karl Fuerlinger and Dang Diep}, type = {Masterthesis}, }
5. Fynn Kappelhoff. Bit Flip-Based Security Benchmarks for Strong PUFs. 3 2022.
   BibTeX Entry

   @misc{kapp22, author = {Fynn Kappelhoff}, title = {{Bit} {Flip-Based} {Security} {Benchmarks} for {Strong} {PUFs}}, year = {2022}, key = {kapp22}, month = {3}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Prof. Dr. Dr. U. Rührmair}, type = {Masterthesis}, }
6. Roman Anasal. Methods and Techniques for using Unique Objects in Security Schemes. 6 2022.
   BibTeX Entry

   @misc{anas22, author = {Roman Anasal}, title = {{Methods} and {Techniques} for using {Unique} {Objects} in {Security} {Schemes}}, year = {2022}, key = {anas22}, month = {6}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Prof. Dr. Dr. U. Rührmair}, type = {Masterthesis}, }
7. Fabian Dreer. How to Trust a Fog Simulator - A Verification and Validation Method for Multi-Tier Application Simulators. 6 2022.
   BibTeX Entry

   @misc{dree22, author = {Fabian Dreer}, title = {{How} to {Trust} a {Fog} {Simulator} - A {Verification} and {Validation} {Method} for {Multi-Tier} {Application} {Simulators}}, year = {2022}, key = {dree22}, month = {6}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Jan Schmidt}, type = {Masterthesis}, }
8. Joachim Fünfer. Microservice Decomposition for Performance Estimation. 8 2022.
   BibTeX Entry

   @misc{fuen22, author = {Joachim Fünfer}, title = {{Microservice} {Decomposition} for {Performance} {Estimation}}, year = {2022}, key = {fuen22}, month = {8}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Maximilian Höb and Jan Schmidt}, type = {Masterthesis}, }
9. Niels Doerre. Automatized Application of Generic Strong PUF Security Metrics. 8 2022.
   BibTeX Entry

   @misc{doer22, author = {Niels Doerre}, title = {{Automatized} {Application} of {Generic} {Strong} {PUF} {Security} {Metrics}}, year = {2022}, key = {doer22}, month = {8}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Ulrich Rührmair}, type = {Masterthesis}, }
10. Maximilian Dufter. Quantum Secure Public-Key Encryption in IoT Networks. 11 2022.
    BibTeX Entry

    @misc{duft22, author = {Maximilian Dufter}, title = {{Quantum} {Secure} {Public-Key} {Encryption} in {IoT} {Networks}}, year = {2022}, key = {duft22}, month = {11}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Corinna Schmitt}, type = {Masterthesis}, }
11. Timo Schmidt. Threat Intelligence Sharing mit der Malware Information Sharing Plattform (MISP) am LRZ. 11 2022.
    BibTeX Entry

    @misc{schm22a, author = {Timo Schmidt}, title = {{Threat} {Intelligence} {Sharing} mit der {Malware} {Information} {Sharing} {Plattform} {(MISP)} am {LRZ}}, year = {2022}, key = {schm22a}, month = {11}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Stefan Metzger and Daniel Weber}, type = {Masterthesis}, }
12. Florian Fuchs. Modeling of latency for the simulation of applications in the Edge and Fog computing paradigms. 12 2022.
    BibTeX Entry

    @misc{fuch22, author = {Florian Fuchs}, title = {{Modeling} of latency for the simulation of applications in the {Edge} and {Fog} computing paradigms}, year = {2022}, key = {fuch22}, month = {12}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Jan Schmidt}, type = {Masterthesis}, }
13. Sergej Breiter. Evaluating Sector Caches in High-Performance Computing. 2 2022. PDF
    Abstract

    The sector cache is a hardware cache partitioning mechanism of the A64FX processor. The A64FX is used in the Fugaku system – currently the fastest supercomputer on the TOP500 list (as of November 2021). It allows application software to dynamically partition a cache and can reduce the occurrence of cache misses by protecting data with high temporal locality from eviction. Many cache partitioning techniques focus on optimizing the cache behavior of shared caches when multiple co-scheduled processes run on the same processor by assigning them to partitions. In contrast, the sector cache aims to improve the cache behavior of a single application by assigning its data to partitions. However, even the hardware man- ufacturer of the A64FX states that it is difficult to use the sector cache in a meaningful way. Therefore, a profiling tool based on the reuse distance metric is being developed using Intel’s PIN binary instrumentation framework. The profiling tool tries to provide program- mers with opportunities where the sector cache can be usefully applied without requiring the programmer to have detailed knowledge of a program’s data locality. Using the parallel NAS benchmarks as an example, it is shown that the tool can indeed help programmers to find code regions where the sector cache can improve cache behaviour. In addition, it is shown that sector cache can significantly improve performance in certain typical situations and these as well as the sector cache behavior of the A64FX are explored and analyzed.
    BibTeX Entry

    @misc{brei22, author = {Sergej Breiter}, title = {{Evaluating} {Sector} {Caches} in {High-Performance} {Computing}}, year = {2022}, pdf = {https://bib.nm.ifi.lmu.de/pdf/brei22.pdf}, abstract = {The sector cache is a hardware cache partitioning mechanism of the A64FX processor. The A64FX is used in the Fugaku system – currently the fastest supercomputer on the TOP500 list (as of November 2021). It allows application software to dynamically partition a cache and can reduce the occurrence of cache misses by protecting data with high temporal locality from eviction. Many cache partitioning techniques focus on optimizing the cache behavior of shared caches when multiple co-scheduled processes run on the same processor by assigning them to partitions. In contrast, the sector cache aims to improve the cache behavior of a single application by assigning its data to partitions. However, even the hardware man- ufacturer of the A64FX states that it is difficult to use the sector cache in a meaningful way. Therefore, a profiling tool based on the reuse distance metric is being developed using Intel’s PIN binary instrumentation framework. The profiling tool tries to provide program- mers with opportunities where the sector cache can be usefully applied without requiring the programmer to have detailed knowledge of a program’s data locality. Using the parallel NAS benchmarks as an example, it is shown that the tool can indeed help programmers to find code regions where the sector cache can improve cache behaviour. In addition, it is shown that sector cache can significantly improve performance in certain typical situations and these as well as the sector cache behavior of the A64FX are explored and analyzed.}, key = {brei22}, month = {2}, school = {Ludwig-Maximilians-Universität München}, supervisors = {Karl Fuerlinger and Josef Weidendorfer (LRZ)}, type = {Masterthesis}, }