Sebastian Litzinger
Sebastian Litzinger

Postdoc in Computer Science

About Me

I am a postdoctoral researcher with the Parallelism & VLSI Group under supervision of Jörg Keller at FernUniversität in Hagen.

In my research, I am concerned with energy-efficient multicore scheduling and the application of machine learning techniques to scheduling problems. Furthermore, I am interested in neural architecture search, in particular based on metaheuristics.

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Interests
  • energy-efficient multicore scheduling
  • machine learning for scheduling problems
  • neural architecture search
Education
  • PhD in computer science

    FernUniversität in Hagen

  • MSc in practical computer science

    FernUniversität in Hagen

  • MA in philosophy

    Eberhard Karls Universität Tübingen

  • BA in philosophy

    Universität Hamburg

Publications
(2024). Energy-Efficient Scheduling of Moldable Streaming Computations for the Edge-Cloud Continuum. Proceedings of the 9th International Conference on Fog and Mobile Edge Computing (FMEC).
(2024). Archive-based Covert Channel in Sensor Streaming Data. JUCS - Journal of Universal Computer Science.
(2024). Packet-Type Aware Scheduling of Moldable Streaming Tasks on Multicore Systems with DVFS. Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing.
(2024). Heuristic Scheduling of Streaming Applications for Energy Efficiency on Heterogeneous Multicores. Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications.
(2023). Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values. Proceedings of the 19th IEEE International Conference on E-Science (e-Science).
(2022). Network Steganography Through Redundancy in Higher-Radix Floating-Point Representations. Proceedings of the 17th International Conference on Availability, Reliability and Security.
(2022). Kleptography in Authentication Protocols: Why is It Still Possible?. Proceedings of the European Interdisciplinary Cybersecurity Conference (EICC).
(2022). Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures. Euro-Par 2021: Parallel Processing Workshops.
(2022). Combining efficiency and scaling effects in activity analysis: towards an improved best practice criterion. RAIRO-Operations Research.
(2022). Systematic search space design for energy-efficient static scheduling of moldable tasks. Journal of Parallel and Distributed Computing.
(2021). Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS. Proceedings of the 24th Workshop on Job Scheduling Strategies for Parallel Processing.
(2021). Combining Design Space Exploration with Task Scheduling of Moldable Streaming Tasks on Reconfigurable Platforms. Proceedings of the International Symposium on Applied Reconfigurable Computing (ARC).
(2021). Analysing terrorist networks -- An entropy-driven method. Expert Systems.
(2020). Static Scheduling of Moldable Streaming Tasks With Task Fusion for Parallel Systems With DVFS. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
(2020). Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes. Proceedings of the 17th International Conference on High Performance Computing & Simulation (HPCS).
(2020). Reducing Energy Consumption of HMAC Applications on Heterogeneous Platforms. Proceedings of the 17th International Conference on High Performance Computing & Simulation (HPCS).
(2020). Code generation for energy-efficient execution of dynamic streaming task graphs on parallel and heterogeneous platforms. Concurrency and Computation: Practice and Experience.
(2020). Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS. Euro-Par 2019: Parallel Processing Workshops.
(2020). Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline. Proceedings of the 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
(2020). Robustness and Energy-elasticity of Crown Schedules for Sets of Parallelizable Tasks on Many-core Systems with DVFS. Proceedings of the 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
(2020). Generating Energy-Efficient Code for Parallel Applications Specified by Streaming Task Graphs with Dynamic Elements. Proceedings of the 11th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM).
(2019). Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling. Proceedings of the 27th European Signal Processing Conference (EUSIPCO).
(2019). Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm. Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN).
(2019). Bipartite Structures in Social Networks: Traditional versus Entropy-Driven Analyses. Entropy.
(2019). Weight Prediction on Missing Links in Social Networks -- a Cross-Entropy-Based Approach --. Journal of Applied Logics.
Talks
Fast Compression of Floating-Point Values with Exponent/Mantissa Shuffling

Sep 26, 2024

Heuristic Scheduling of Streaming Applications for Energy Efficiency on Heterogeneous Multicores

Dec 13, 2023

Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values

Oct 13, 2023

Network Steganography Through Redundancy in Higher-Radix Floating-Point Representations

Aug 24, 2022

Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures

Aug 30, 2021

Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS

May 21, 2021

Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures

Apr 23, 2021

Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline

Mar 12, 2020

Generating Energy-Efficient Code for Parallel Applications Specified by Streaming Task Graphs with Dynamic Elements

Feb 22, 2020

Influence of Incremental Constraints on Energy Consumption and Static Scheduling Time for Moldable Tasks with Deadline

Jan 20, 2020

Fault-Tolerant and Energy-Efficient Static Schedules for Multi-Variant Programs

Dec 13, 2019

Energy-efficient scheduling of stream processing applications with dynamic tasks

Oct 1, 2019

Adaptive crown scheduling for streaming tasks on many-core systems with discrete DVFS

Aug 27, 2019

Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes

Jul 17, 2019

Reducing Energy Consumption of HMAC Applications on Heterogeneous Platforms

Jul 16, 2019

Influence of Discretization of Frequencies and Processor Allocation on Static Scheduling of Parallelizable Tasks with Deadlines

Mar 22, 2019

Posters
Event Attendances
  • 30th PARS Workshop 2024, TH Ingolstadt, Germany
  • GI Sicherheit 2024, HS Worms, Germany
  • HPCC 2023, Melbourne, Australia
  • eScience 2023, Limassol, Cyprus
  • ARES 2022, Vienna, Austria
  • EICC 2022, Barcelona, Spain
  • Euro-Par 2021, Lisbon, Portugal (online)
  • ARC 2021, Rennes, France (online)
  • IPDPS 2021, Portland, USA (online)
  • DKFT 2021 (online)
  • MBMV 2021 (online)
  • HiPEAC 2021, Budapest, Hungary (online)
  • PDP 2020, Västerås, Sweden (online)
  • PPoPP 2020, San Diego, USA
  • HiPEAC 2020, Bologna, Italy
  • DKFT 2019, TU Dortmund, Germany
  • 4th German-Russian Summer School 2019, htw saar, Saarbrücken, Germany
  • ICANN 2019, Munich, Germany
  • Euro-Par 2019, Göttingen, Germany
  • HPCS 2019, Dublin, Ireland
  • PUMPS+AI Summer School 2019, Barcelona, Spain
  • 28th PARS Workshop 2019, TU Berlin, Germany
  • Supercomputing Frontiers Europe 2019, Warsaw, Poland
  • HiPEAC 2019, Valencia, Spain
  • DKFT 2018, HTW Dresden, Germany
  • UPMARC Day 2018, Uppsala Universitet, Sweden
Teaching

At FernUniversität in Hagen, I serve as a teaching assistant for courses on parallel computing, simulation, and computer engineering. Moreover, I take part in supervising bachelor and master theses on topics related to parallel computing.

As a philosophy student, I have worked as a teaching assistant for introductory courses on logic at Universität Hamburg and at Eberhard Karls Universität Tübingen.