Gdsfactory, an Open Source Python Flow for Circuit Design, Verification and Validation скачать в хорошем качестве

Gdsfactory, an Open Source Python Flow for Circuit Design, Verification and Validation

Abstract For efficient design, verification and validation of integrated circuits and components it is important to have an easy to customize and extend workflow. Python has become the standard programming language for machine learning, scientific computing and engineering. Gdsfactory is a python library to build chips (Photonics, Analog, Quantum, MEMs, …) that provides you a common syntax for design (KLayout, Ansys Lumerical, tidy3d, MEEP, MPB, DEVSIM, SAX, …), verification (Klayout DRC, LVS, netlist extraction, connectivity checks, fabrication models) and validation (JAX neural network model extraction, pandas, SQL database). In this talk we describe the gdsfactory design automation tool. Gdsfactory provides you an end to end workflow that combines layout, verification and validation using an extensible, open source, python driven flow for turning your chip designs into validated products. Speaker: Joaquin Matres received his Engineering (2009), M.Sc. (2010) and PhD (2014) degree in Telecommunications from the Universidad Politecnica de Valencia, Spain. For his PhD he built CMOS-compatible all-optical switches and logic gates at IMEC and CEA-LETI foundries. During his 6 month internship in Intel Corporation and 2.5 years in Hewlett Packard Labs, he worked on hybrid tunable lasers, wavelength selective switches and microring based optical transceivers. Then as the first engineer that joined PsiQuantum he worked on design, layout and validation of large scale Quantum computing circuits, where he was involved in most tapeouts during 3 years. Since 2020 Joaquin has been working at X Moonshot Factory (Formerly known as Google X) developing Free Space Optical Transceivers to bring affordable internet to developing countries. Joaquin is also an active developer of many open source projects such as gdsfactory, awesome photonics and open source Process Design Kits (PDKs) (such as GlobalFoundries180 and Skywater130). Joaquin also works closely with open source developers at Google with the "Build Your Own Silicon" program, fostering an open-source community and ecosystem for the development of next-generation chips. Google has spearheaded the machine learning ecosystem since the open-sourcing of TensorFlow in 2016, and Joaquin is actively involved in replicating the success of open source tools for machine learning into the field of chip design. Moderator: Il Young Chung, co-organizer of Quantum Computing and Data Science