Publications#
Isam Vrce, Andreas Kassler, and Gökçe Aydos. Transposable n:m sparse deep reinforcement learning with replay-aware topology control. In Ana Paula Rocha, Mattias Wahde, and H. Jaap van den Herik, editors, Agents and Artificial Intelligence: 18th International Conference, ICAART 2026, Marbella, Spain, March 5–7, 2026, Revised Selected Papers, Lecture Notes in Computer Science. December 2026. Under review.
Isam Vrce, Andreas Kassler, and Gökçe Aydos. Understanding and stabilizing hardware-aware n:m sparse training in deep reinforcement learning. In Proceedings of the 35th International ACM Conference on Knowledge and Information Management - CIKM. November 2026. Under review.
Isam Vrce, Andreas Kassler, and Gökçe Aydos. RNM-TD3: N:M Semi-Structured Sparse Reinforcement Learning From Scratch. In Proceedings of the 18th International Conference on Agents and Artificial Intelligence - ICAART. March 2026. URL: https://f.aydos.de/vrce2026rnm-td3.pdf, doi:10.5220/0014489400004052.
Marius Hobbhahn, Lennart Heim, and Gökçe Aydos. Trends in machine learning hardware. Technical Report, EpochAI, 2023. URL: https://epochai.org/blog/trends-in-machine-learning-hardware.
Hans Aschauer, Gökçe Aydos, Markus Heintel, and Johannes Zwanzger. Method for operating keystream generators for secure data transmission. 2019. URL: https://worldwide.espacenet.com/patent/search?q=pn%3DUS2022158822A1.
Markus Heintel, Hans Aschauer, Gökçe Aydos, Rainer Falk, Kai Fischer, Steffen Fries, Wolfgang Klasen, Axel Pfau, and Johannes Zwanzger. Method and device for transmitting a data set from a first to a second device. 2018. URL: https://worldwide.espacenet.com/patent/search?q=pn%3DEP3515033A1.
Gökçe Aydos. Parity-based Error Detection with Recomputation for Fault-tolerant Spaceborne Computing. PhD thesis, University of Bremen, Germany, 2017. URL: http://nbn-resolving.de/urn:nbn:de:gbv:46-00106056-15.
Gökçe Aydos and Görschwin Fey. Empirical results on parity-based soft error detection with software-based retry. Microprocessors and Microsystems (MICPRO), September 2016. URL: https://f.aydos.de/aydos2016ltmr_vs_pbed_exper_extended.pdf, doi:10/bsmn.
Gökçe Aydos and Görschwin Fey. Exploiting error detection latency for parity-based soft error detection. In Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE, April 2016. URL: https://f.aydos.de/aydos2016exploiting_err_det_latency.pdf, doi:10/bsf9.
Gökçe Aydos and Görschwin Fey. Empirical results on parity-based soft error detection with software-based retry. In Nordic Circuits and Systems Conference (NORCAS). IEEE, October 2015. URL: https://f.aydos.de/aydos2015ltmr_vs_pbed_exper.pdf, doi:10/bsmp.
Gökçe Aydos and Görschwin Fey. Parity-based soft error detection with software-based retry vs. triplication-based soft error correction - an analytical comparison on a flash-based FPGA architecture. In INFORMATIK 2015. GI e.V., September 2015. URL: http://subs.emis.de/LNI/Proceedings/Proceedings246/article129.html.
Gökçe Aydos and Görschwin Fey. In-circuit error detection with software-based error correction – an alternative to TMR. In Formal Modeling and Verification of Cyber-Physical Systems. Springer, 2015. URL: https://f.aydos.de/aydos2015err_det_based_ft_intro.pdf, doi:10/jqq2.
Carl Johann Treudler, Jan-Carsten Schröder, Fabian Greif, Kai Stohlmann, Gökçe Aydos, and Görschwin Fey. Scalability of a base level design for an on-board-computer for scientific missions. In Data Systems In Aerospace (DASIA). August 2014. URL: https://articles.adsabs.harvard.edu/pdf/2014ESASP.725E..38T.
Gökçe Aydos. FPGA-based coincidence-unit for digital positron emission tomography. Master's thesis, RWTH Aachen, 2012. URL: https://f.aydos.de/diploma-thesis.pdf.
Details about my work on error detection-based fault tolerance#
Here you find a summary of research publications on error detection-based fault-tolerance (EDFT) for sequential circuits like processors:
The idea came up when I was working on the satellite computer described in [13] which was part of the Eu:CROPIS satellite mission.
[12] introduces the idea of EDFT in general.
[11] gives a first insight to the performance of EDFT using parity-based error detection by comparing our approach with LTMR analytically. Synthesis results using a real circuit is gathered in [10].
[9] tries to improve the timing of EDFT using pipelining.
[8] is an extended version of [10] and provides a more detailed specification and fault tolerance analysis of transaction-based processing.
Finally [7] compiles my research work. Dissertation slides includes key diagrams and results of my dissertation.