Sebastian Litzinger
Orcid: 0000-0003-2200-7337
According to our database1,
Sebastian Litzinger
authored at least 28 papers
between 2019 and 2023.
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Bibliography
2023
Raising Energy Efficiency and Fault Tolerance with Parallel Streaming Application Scheduling on Multicore Systems.
PhD thesis, 2023
Packing Multiple Types of Cores for Energy-Optimized Heterogeneous Hardware-Software Co-Design of Moldable Streaming Computations.
IEEE Access, 2023
Heuristic Scheduling of Streaming Applications for Energy Efficiency on Heterogeneous Multicores.
Proceedings of the IEEE International Conference on High Performance Computing & 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, 2023
2022
Integrating Energy-Optimizing Scheduling of Moldable Streaming Tasks with Design Space Exploration for Multiple Core Types on Configurable Platforms.
J. Signal Process. Syst., 2022
Combining efficiency and scaling effects in activity analysis: towards an improved best practice criterion.
RAIRO Oper. Res., 2022
Effects of Continuous vs Discrete Frequency Scaling and Core Allocation on Energy Efficiency of Static Schedules for Moldable Tasks.
Parallel Process. Lett., 2022
Systematic search space design for energy-efficient static scheduling of moldable tasks.
J. Parallel Distributed Comput., 2022
Expert Syst. J. Knowl. Eng., 2022
Code generation for energy-efficient execution of dynamic streaming task graphs on parallel and heterogeneous platforms.
Concurr. Comput. Pract. Exp., 2022
Proceedings of the EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15, 2022
Network Steganography Through Redundancy in Higher-Radix Floating-Point Representations.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022
2021
Crown-scheduling of sets of parallelizable tasks for robustness and energy-elasticity on many-core systems with discrete dynamic voltage and frequency scaling.
J. Syst. Archit., 2021
Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2021
Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures.
Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021
Combining Design Space Exploration with Task Scheduling of Moldable Streaming Tasks on Reconfigurable Platforms.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021
2020
Static Scheduling of Moldable Streaming Tasks With Task Fusion for Parallel Systems With DVFS.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Influence of Incremental Constraints on Energy Consumption and Static Scheduling Time for Moldable Tasks with Deadline.
CoRR, 2020
Generating energy-efficient code for parallel applications specified by streaming task graphs with dynamic elements.
Proceedings of the PMAM@PPoPP '20: Eleventh International Workshop on Programming Models and Applications for Multicores and Manycores colocated with the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
Proceedings of the 28th Euromicro International Conference on Parallel, 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, 2020
2019
Weight Predication on Missing Links in Social Networks. A Cross-Entropy-Based Approach.
FLAP, 2019
Entropy, 2019
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling.
Proceedings of the 27th European Signal Processing Conference, 2019
Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS.
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019