Tajas Ruschke

M.Sc. Tajas Ruschke

+49 6151 16-21156
fax +49 6151 16-21159

S3|06 328
Merckstraße 25
64283 Darmstadt

Forschungsthemen

  • Scheduler für CGRAs
  • High-Level Synthese

Veröffentlichungen

Dennis Wolf ; Andreas Engel ; Tajas Ruschke ; Andreas Koch ; Christian Hochberger (2021):
UltraSynth: Insights of a CGRA Integration into a Control Engineering Environment.
In: Journal of Signal Processing Systems, ISSN 1939-8018, Springer Nature,
DOI: https://doi.org/10.1007/s11265-021-01641-7,
[Online: https://link.springer.com/article/10.1007/s11265-021-01641-7],
[Artikel]

Dennis Wolf ; Tajas Ruschke ; Christian Hochberger ; Andreas Engel ; Andreas Koch (2019):
UltraSynth: Integration of a CGRA into a Control Engineering Environment.
In: 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2018), Darmstadt, Germany, 9-11 April, 2019,
DOI: https://doi.org/10.1007/978-3-030-17227-5_18,
[Online: https://link.springer.com/chapter/10.1007/978-3-030-17227-5_18],
[Konferenzveröffentlichung]

Dennis Wolf ; Lukas Johannes Jung ; Tajas Ruschke ; Changgong Li ; Christian Hochberger (2018):
AMIDAR Project: Lessons Learned in 15 Years of Researching Adaptive Processors.
In: 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2018), Lille, France, 9-11 July 2018,
DOI: https://doi.org/10.1109/ReCoSoC.2018.8449384,
[Online: https://ieeexplore.ieee.org/document/8449384],
[Konferenzveröffentlichung]

Tajas Ruschke ; Lukas Johannes Jung ; Christian Hochberger (2017):
A Near Optimal Integrated Solution for Resource Constrained Scheduling, Binding and Routing on CGRAs.
In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), DOI: https://doi.org/10.1109/IPDPSW.2017.99,
[Online: http://ieeexplore.ieee.org/document/7965045/],
[Konferenzveröffentlichung]

Tajas Ruschke ; Lukas Johannes Jung ; Dennis Wolf ; Christian Hochberger (2016):
Scheduler for Inhomogeneous and Irregular CGRAs with Support for Complex Control Flow.
In: 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), S. 198-207,
DOI: https://doi.org/10.1109/IPDPSW.2016.72,
[Konferenzveröffentlichung]