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Martin Schottenloher

dblp:415/5294 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 87% Integrated circuit design · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
optical network-on-chip
0.912025
Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip · DAC 2025
Interconnection networks and networks-on-chip › optical network-on-chip
wavelength-routed optical noc
0.912025
Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip · DAC 2025
Integrated circuit design
photonic integrated circuits
0.312025
Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip · DAC 2025

Methods — techniques the papers use, named apart from their topics

optimization of MRR radii and signal wavelengths · 0.9analytical modeling · 0.9
YearPublicationVenuePosition
2025 Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip
abstract
With low latency and collision-free communication, wavelength-routed optical networks-on-chip (WRONoC) become an effective solution to the growing demands for multi-core communications. Microring resonators (MRRs), the primary optical components in WRONoC, are susceptible to process variation. Under process variation, the MRR’s transmission spectrum shifts, results reduced signal power and increased crosstalk. However, the impacts caused by process variation have not yet been considered in WRONoC designs. In this work, we propose a methodology to optimize the MRR radii and signal wavelengths to counter process variation. Specifically, we construct analytical models of expected signal power under MRR process variation and develop optimization methods to maximize the expected signal transmission power in WRONoC. Results show up to 7.51 dB improvement in worst-case expected signal transmission power compared to designs that do not consider process variation.
Liaoyuan Cheng, Mengchu Li, Tsun-Ming Tseng, Martin Schottenloher, Ulf Schlichtmann
DAC4