Alexander Louis-Ferdinand Jung

Orcid: 0000-0001-5702-5768

Affiliations:
  • University of Tübingen, Embedded Systems Department, Germany


According to our database1, Alexander Louis-Ferdinand Jung authored at least 7 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing.
CoRR, June, 2025

Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators.
ACM Trans. Embed. Comput. Syst., March, 2025

2024
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators.
CoRR, 2024

It's All About PR - Smart Benchmarking AI Accelerators Using Performance Representatives.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024

2022
Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators.
Proceedings of the International Conference on Compilers, 2022

2021
APPEL - AGILA ProPErty and Dependency Description Language.
Proceedings of the Methods and Description Languages for Modelling and Verification of Circuits and Systems, 2021

2019
Systematic RISC-V based Firmware Design<sup>⋆</sup>.
Proceedings of the 2019 Forum for Specification and Design Languages, 2019


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