Modular Open Source Analog IC (MOSAIC) Design

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Abstract:
Currently, every tool we use in IC design is limited by its licenses and IPs hindering fluid collaboration between, and thus the productivity, of universities and industries. Wider use of open-source tools and PDKs can foster smoother cooperation between different IC design organizations. Moreover, the analog
generation design methodology is extremely useful in reducing design effort and increasing reusability. However, these tools and methodologies are heavily catered towards its current user-developers and their commercial IC design tools. The Modular Open Source Analog IC Design (MOSAIC) community combines developers and users of both sides in order to promote and exchange information about the use of open-source tools and analog generation. In this talk, we will talk about a multitude of open-source and analog-generation tools taught to us during the MOSAIC bootcamp.


  Date and Time

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  Registration


  • Date: 17 Nov 2022
  • Time: 04:00 PM to 06:00 PM
  • All times are (UTC+08:00) Singapore
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  • Co-sponsored by Center for Integrated Circuit Design and Research Philippines (CIDR)

  Speakers

Ryan Albert G Antonio

Topic:

Modular Open Source Analog IC (MOSAIC) Design Part 1

Biography:

Ryan Albert G Antonio is a junior faculty member in UP EEEI He
received his M Sc degree in Electrical Engineering and his B Sc degree
in Computer Engineering from the University of the Philippines Diliman
(UP Diliman) in 2020 and 2016 respectively He's also part of the
Microelectronics and Microprocessors Laboratory His current research
interests are hardware architectures for hyperdimensional computing,
hardware accelerators for machine learning, and asynchronous circuit
designs

Lawrence Roman A Quizon

Biography:

Lawrence Roman A Quizon is an MS Student and Teaching Associate at the University of the Philippines EEEi He received his BS in Computer Engineering from UP in 2021 as Magna Cum Laude His research interests are primarily on resource efficient AI, AI Accelerators, and neuromorphic computing





  Media

CIDR-sscs-mosaic 966.16 KiB