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Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes./
Author:	Moazeni, Sajjad.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	143 p.
Notes:	Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Contained By:	Dissertation Abstracts International80-01B(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10845211
ISBN:	9780438325685

Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes.
Moazeni, Sajjad.

Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 143 p.

Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.

Thesis (Ph.D.)--University of California, Berkeley, 2018.

Today's conventional cloud computing and mobile platforms have been challenged by the advent of Machine Learning (ML) and Internet of Things (IoT). The performance and diversity requirements of these applications demand the shift towards hyper-scale data centers, Exascale high-performance computing (HPC), energy-efficient edge computing, and new sensing and imaging modalities. My research goal is to design and implement large-scale and energy-efficient integrated systems that answer these technological changes by merging state-of-the-art electronics with photonics.

ISBN: 9780438325685Subjects--Topical Terms:

596380
Electrical engineering.

Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes.
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245 1 0 $a Energy-efficient and High-bandwidth Density Monolithic Optical Transceivers in Advanced CMOS Processes.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 143 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 $a Adviser: Vladimir Stojanovic.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 $a Today's conventional cloud computing and mobile platforms have been challenged by the advent of Machine Learning (ML) and Internet of Things (IoT). The performance and diversity requirements of these applications demand the shift towards hyper-scale data centers, Exascale high-performance computing (HPC), energy-efficient edge computing, and new sensing and imaging modalities. My research goal is to design and implement large-scale and energy-efficient integrated systems that answer these technological changes by merging state-of-the-art electronics with photonics.
520 $a This thesis developes several monolithic photonics platforms in advanced CMOS technologies that were designed as key enablers for the next-generation of integrated systems: (1) Using unmodified CMOS in 32/45nm SOI nodes places photonics next to one of the fastest transistors and enhances integrated system applications beyond the Moore-scaling, while being able to offload major communication tasks from more deeply-scaled compute and memory chips without the complications of 3D integration approaches. (2) Poly-silicon based photonics in bulk CMOS as a path for embedding photonics in the most advanced CMOS nodes (sub-10nm). We demonstrate system results using these platforms for the immediate application area of high-performance optical transceivers. We elaborate on the electronic-photonic co-optimization opportunities on the example of optical interconnect application, a 40Gb/s optical transmitter achieving the world record energy and bandwidth density. Furthermore, we explain how deep insight into details of an advanced CMOS process can leverage photonic device design, enabling new degrees of freedom in a seemingly constrained environment. Lastly, we demonstrate the first monolithic integrated photonics platform in a commercial 300mm-wafer bulk CMOS technology. We implemented the photonic system-on-chip (SoC) in this platform for in-situ device characterization and process development, and demonstrated wavelength division multiplexed (WDM) optical transceivers. These integrated platforms and system design methodologies can unlock new functionalities in many applications such as HPC, high-bandwidth wireless connectivity, LiDAR, bio-sensing, etc.
590 $a School code: 0028.
650 4 $a Electrical engineering. $3 596380
650 4 $a Optics. $3 595336
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710 2 $a University of California, Berkeley. $b Electrical Engineering & Computer Sciences. $3 845564
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792 $a 2018
793 $a English
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