Design Flow Automation for Silicon Photonics: Challenges, Collaboration, and Standardization

Heins, Mitchell; Cone, Chris; Ferguson, John F.; Cao, Ruping; Pond, James; Klein, Jackson; Korthorst, Twan; Bakker, Arjen; Stoffer, Remco; Fiers, Martin; Khanna, Aparna; Bogaerts, Wim; Dumon, Pieter; Nesmith, Kevin

doi:10.1007/978-3-642-10503-6_4

Cited by 6 publications

(10 citation statements)

References 21 publications

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“…PCells are usually defined in a scripting language. This can be a proprietary language such as SKILL in Cadence, Ample in Mentor Graphics Pyxis, SPT in Phoenix Software, or an established standard language such as Python, which is used in in IPKISS, KLayout, and Synopsys PyCell Studio, Tcl, used by Synopsys and Mentor Graphics or Matlab . Even with standard languages, code will be specific to the application programming interface (API) of the particular tool ( e.g ., Python code to add a polygon will differ between tools as there is no standardization).…”

Section: Silicon Photonics Design Todaymentioning

confidence: 99%

“…Most photonic simulation tools now include some functionality for virtual fabrication of a device layout, but this does usually not include the effects of lithography. Using lithography simulation, the spatial low‐pass effects that lead to corner rounding can be included in the optimization loop, as well as lithographically induced contour variations …”

Section: Challenges For An Integrated Photonic Design Flowmentioning

confidence: 99%

“…Using lithography simulation, the spatial low-pass effects that lead to corner rounding can be included in the optimization loop, [143,144] as well as lithographically induced contour variations. [98,145] In robust optimization, the optimization algorithms does not aim to maximize the absolute performance, but rather the performance in a window of parameters that are susceptible to variation. For instance, when a specification of variability is given (e.g., linewidth or thickness), the optimization can try to optimize the design parameters to maximize the poorest performance in the window of variability.…”

Section: Robust Optimization Of Devicesmentioning

confidence: 99%

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Silicon Photonics Circuit Design: Methods, Tools and Challenges

Bogaerts

Chrostowski

2018

Laser & Photonics Reviews

Self Cite

439

230

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Silicon Photonics technology is rapidly maturing as a platform for larger‐scale photonic circuits. As a result, the associated design methodologies are also evolving from component‐oriented design to a more circuit‐oriented design flow, that makes abstraction from the very detailed geometry and enables design on a larger scale. In this paper, the state of this emerging photonic circuit design flow and its synergies with electronic design automation (EDA) are reviewed. The design flow from schematic capture, circuit simulation, layout and verification is covered. The similarities and the differences between photonic and electronic design, and the challenges and opportunities that present themselves in the new photonic design landscape, such as variability analysis, photonic‐electronic co‐simulation and compact model definition are discussed.

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Section: Silicon Photonics Design Todaymentioning

confidence: 99%

Section: Challenges For An Integrated Photonic Design Flowmentioning

confidence: 99%

Section: Robust Optimization Of Devicesmentioning

confidence: 99%

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Silicon Photonics Circuit Design: Methods, Tools and Challenges

Bogaerts

Chrostowski

2018

Laser & Photonics Reviews

Self Cite

439

230

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“…The PDK provided by the foundry is the interface between the designer and the technology [151], [152]. It contains sufficient technical details of the technology to enable the designer to create either full-custom layouts or custom circuits.…”

Section: B Open-access Workflowmentioning

confidence: 99%

“…Typically 50-70 % of end-user designs in an MPW are based on user-defined custom building blocks [151]. Before moving to early prototype dedicated production runs, typically an end-user requires multiple tape-out iterations to optimize custom-designed building blocks and reach the performance specifications.…”

Section: Open-access Modalitiesmentioning

confidence: 99%

Open-Access Silicon Photonics: Current Status and Emerging Initiatives

et al. 2018

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Silicon Photonics is widely acknowledged as a gamechanging technology, driven by the needs of datacom and telecom. Silicon Photonics builds on highly capital-intensive manufacturing infrastructure, and mature open-access silicon photonics platforms are translating the technology from research fabs to industrial manufacturing levels. To meet the current market demands for silicon photonics manufacturing, a variety of openaccess platforms is offered by CMOS pilot lines, R&D institutes and commercial foundries. This paper presents an overview of existing and upcoming commercial and non-commercial openaccess silicon photonics technology platforms. We also discuss the diversity in these open-access platforms and their key differentiators.

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Time-Domain Characterization of Photonic Integrated Filters Subject to Fabrication Variations

Wang

Spina

et al. 2019

J. Lightwave Technol.

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Design Flow Automation for Silicon Photonics: Challenges, Collaboration, and Standardization

Cited by 6 publications

References 21 publications

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Open-Access Silicon Photonics: Current Status and Emerging Initiatives

Time-Domain Characterization of Photonic Integrated Filters Subject to Fabrication Variations

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