Lukas Jünger

Orcid: 0000-0001-9149-1690

Affiliations:
  • RWTH Aachen University, Institute for Communication Technologies and Embedded Systems, Germany


According to our database1, Lukas Jünger authored at least 14 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
NQC²: A Non-Intrusive QEMU Code Coverage Plugin.
Proceedings of the 16th Workshop on Rapid Simulation and Performance Evaluation for Design, 2024

2023
Efficient RISC-V-on-x64 Floating Point Simulation.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Entropy-Based Analysis of Benchmarks for Instruction Set Simulators.
Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

Work-in-Progress: A Generic Non-Intrusive Parallelization Approach for SystemC TlM-2.0-Based Virtual Platforms.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2022
AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators.
Int. J. Parallel Program., 2022

NISTT: A Non-Intrusive SystemC-TLM 2.0 Tracing Tool.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Virtual Platform Acceleration through Userspace Host Execution.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

EmuNoC: Hybrid Emulation for Fast and Flexible Network-on-Chip Prototyping on FPGAs.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

X-on-X: Distributed Parallel Virtual Platforms for Heterogeneous Systems.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
Software-defined Temporal Decoupling in Virtual Platforms.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Optimizing Temporal Decoupling using Event Relevance.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
AMAIX: A Generic Analytical Model for Deep Learning Accelerators.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020

ARM-on-ARM: Leveraging Virtualization Extensions for Fast Virtual Platforms.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Fast SystemC Processor Models with Unicorn.
Proceedings of the Rapid Simulation and Performance Evaluation: Methods and Tools, 2019


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