Abstract:
This article presents MAGICAL, which is a fully automated analog IC layout system. MAGICAL takes a netlist and design rules as inputs, and it produces the final GDS layou...Show MoreMetadata
Abstract:
This article presents MAGICAL, which is a fully automated analog IC layout system. MAGICAL takes a netlist and design rules as inputs, and it produces the final GDS layout in a fully automated fashion.
Published in: IEEE Design & Test ( Volume: 38, Issue: 2, April 2021)
Funding Agency:
The University of Texas at Austin, USA
Hao Chen is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include physical design, CAD for analog/mixed signal designs, logic synthesis, and emerging technology. Chen has a BS in electrical engineering from the National Taiwan University, Taipei, Taiwan (2019).
Hao Chen is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include physical design, CAD for analog/mixed signal designs, logic synthesis, and emerging technology. Chen has a BS in electrical engineering from the National Taiwan University, Taipei, Taiwan (2019).View more
The University of Texas at Austin, USA
Mingjie Liu is currently pursuing a PhD degree with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include applied machine learning for design automation and layout design automation for analog and mixed-signal integrated circuits.
Mingjie Liu is currently pursuing a PhD degree with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include applied machine learning for design automation and layout design automation for analog and mixed-signal integrated circuits.View more
The University of Texas at Austin, USA
Biying Xu is currently a Lead Software Engineer with Cadence Design Systems, San Jose, CA. Her research interests include physical design automation for digital, analog, and mixed-signal integrated circuits. Xu has a PhD from the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX (2019).
Biying Xu is currently a Lead Software Engineer with Cadence Design Systems, San Jose, CA. Her research interests include physical design automation for digital, analog, and mixed-signal integrated circuits. Xu has a PhD from the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX (2019).View more
The University of Texas at Austin, USA
Keren Zhu is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research focuses on VLSI CAD. Zhu has a BS in electrical engineering with the highest distinction from the University of Wisconsin-Madison, Madison, WI.
Keren Zhu is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research focuses on VLSI CAD. Zhu has a BS in electrical engineering with the highest distinction from the University of Wisconsin-Madison, Madison, WI.View more
The University of Texas at Austin, USA
Xiyuan Tang is currently a Postdoctoral Researcher with The University of Texas at Austin, Austin, TX. His research interests include digitally assisted data converters, low-power mixed-signal circuits, and analog data processing. Tang has a PhD in electrical engineering from The University of Texas at Austin (2019).
Xiyuan Tang is currently a Postdoctoral Researcher with The University of Texas at Austin, Austin, TX. His research interests include digitally assisted data converters, low-power mixed-signal circuits, and analog data processing. Tang has a PhD in electrical engineering from The University of Texas at Austin (2019).View more
The University of Texas at Austin, USA
Shaolan Li is currently an Assistant Professor with Georgia Tech, Atlanta, GA. His research interests include analog and mixed-signal IC design, solid-state medical imaging platform, and artificial intelligence hardware. Li has a PhD from The University of Texas at Austin, Austin, TX (2018).
Shaolan Li is currently an Assistant Professor with Georgia Tech, Atlanta, GA. His research interests include analog and mixed-signal IC design, solid-state medical imaging platform, and artificial intelligence hardware. Li has a PhD from The University of Texas at Austin, Austin, TX (2018).View more
The University of Texas at Austin, USA
Yibo Lin is an Assistant Professor with the Computer Science Department, Peking University, Beijing, China. His research interests include physical design, machine learning, and GPU acceleration. Lin has a PhD from the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, TX (2018).
Yibo Lin is an Assistant Professor with the Computer Science Department, Peking University, Beijing, China. His research interests include physical design, machine learning, and GPU acceleration. Lin has a PhD from the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, TX (2018).View more
The University of Texas at Austin, USA
Nan Sun is currently a Professor with the Department of Electronic Engineering, Tsinghua University, Beijing, China. His current research interests include analog, mixed-signal, and RF integrated circuit design, and analog circuit design automation.
Nan Sun is currently a Professor with the Department of Electronic Engineering, Tsinghua University, Beijing, China. His current research interests include analog, mixed-signal, and RF integrated circuit design, and analog circuit design automation.View more
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
David Z. Pan is currently a Silicon Laboratories Endowed Chair of electrical engineering with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include cross-layer nanometer IC design for manufacturability, reliability, security, machine learning and hardware acceleration, design/CAD for analog/mixed signal designs and emerging technologies.
David Z. Pan is currently a Silicon Laboratories Endowed Chair of electrical engineering with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include cross-layer nanometer IC design for manufacturability, reliability, security, machine learning and hardware acceleration, design/CAD for analog/mixed signal designs and emerging technologies.View more
Contents The University of Texas at Austin, USA
Hao Chen is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include physical design, CAD for analog/mixed signal designs, logic synthesis, and emerging technology. Chen has a BS in electrical engineering from the National Taiwan University, Taipei, Taiwan (2019).
Hao Chen is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include physical design, CAD for analog/mixed signal designs, logic synthesis, and emerging technology. Chen has a BS in electrical engineering from the National Taiwan University, Taipei, Taiwan (2019).View more
The University of Texas at Austin, USA
Mingjie Liu is currently pursuing a PhD degree with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include applied machine learning for design automation and layout design automation for analog and mixed-signal integrated circuits.
Mingjie Liu is currently pursuing a PhD degree with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include applied machine learning for design automation and layout design automation for analog and mixed-signal integrated circuits.View more
The University of Texas at Austin, USA
Biying Xu is currently a Lead Software Engineer with Cadence Design Systems, San Jose, CA. Her research interests include physical design automation for digital, analog, and mixed-signal integrated circuits. Xu has a PhD from the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX (2019).
Biying Xu is currently a Lead Software Engineer with Cadence Design Systems, San Jose, CA. Her research interests include physical design automation for digital, analog, and mixed-signal integrated circuits. Xu has a PhD from the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX (2019).View more
The University of Texas at Austin, USA
Keren Zhu is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research focuses on VLSI CAD. Zhu has a BS in electrical engineering with the highest distinction from the University of Wisconsin-Madison, Madison, WI.
Keren Zhu is currently pursuing a PhD with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research focuses on VLSI CAD. Zhu has a BS in electrical engineering with the highest distinction from the University of Wisconsin-Madison, Madison, WI.View more
The University of Texas at Austin, USA
Xiyuan Tang is currently a Postdoctoral Researcher with The University of Texas at Austin, Austin, TX. His research interests include digitally assisted data converters, low-power mixed-signal circuits, and analog data processing. Tang has a PhD in electrical engineering from The University of Texas at Austin (2019).
Xiyuan Tang is currently a Postdoctoral Researcher with The University of Texas at Austin, Austin, TX. His research interests include digitally assisted data converters, low-power mixed-signal circuits, and analog data processing. Tang has a PhD in electrical engineering from The University of Texas at Austin (2019).View more
The University of Texas at Austin, USA
Shaolan Li is currently an Assistant Professor with Georgia Tech, Atlanta, GA. His research interests include analog and mixed-signal IC design, solid-state medical imaging platform, and artificial intelligence hardware. Li has a PhD from The University of Texas at Austin, Austin, TX (2018).
Shaolan Li is currently an Assistant Professor with Georgia Tech, Atlanta, GA. His research interests include analog and mixed-signal IC design, solid-state medical imaging platform, and artificial intelligence hardware. Li has a PhD from The University of Texas at Austin, Austin, TX (2018).View more
The University of Texas at Austin, USA
Yibo Lin is an Assistant Professor with the Computer Science Department, Peking University, Beijing, China. His research interests include physical design, machine learning, and GPU acceleration. Lin has a PhD from the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, TX (2018).
Yibo Lin is an Assistant Professor with the Computer Science Department, Peking University, Beijing, China. His research interests include physical design, machine learning, and GPU acceleration. Lin has a PhD from the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, TX (2018).View more
The University of Texas at Austin, USA
Nan Sun is currently a Professor with the Department of Electronic Engineering, Tsinghua University, Beijing, China. His current research interests include analog, mixed-signal, and RF integrated circuit design, and analog circuit design automation.
Nan Sun is currently a Professor with the Department of Electronic Engineering, Tsinghua University, Beijing, China. His current research interests include analog, mixed-signal, and RF integrated circuit design, and analog circuit design automation.View more
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
David Z. Pan is currently a Silicon Laboratories Endowed Chair of electrical engineering with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include cross-layer nanometer IC design for manufacturability, reliability, security, machine learning and hardware acceleration, design/CAD for analog/mixed signal designs and emerging technologies.
David Z. Pan is currently a Silicon Laboratories Endowed Chair of electrical engineering with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX. His research interests include cross-layer nanometer IC design for manufacturability, reliability, security, machine learning and hardware acceleration, design/CAD for analog/mixed signal designs and emerging technologies.View more
