Silicon Photonics for High-Performance Computing and Beyond  book cover
1st Edition

Silicon Photonics for High-Performance Computing and Beyond




ISBN 9780367262143
Published November 17, 2021 by CRC Press
408 Pages 246 B/W Illustrations

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Book Description

Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications.
Technical topics discussed in the book include:

• Requirements and the latest advances in high-performance computing systems
• Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems
• Novel design solutions and design automation techniques for silicon photonic integrated circuits
• Novel materials, devices, and  photonic integrated circuits on silicon
• Emerging computing technologies and applications based on silicon photonics

Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics. 

Table of Contents

 

Section I High-Performance Computing Interconnect Requirements and Advances

Chapter 1 Silicon Photonic Modulation for High-Performance Computing

Maithem Salih and Alan Mickelson

Chapter 2 Laser Modulation Schemes for Minimizing Static Power Dissipation

Smruti Ranjan Sarangi

Chapter 3 Scalable Low-Power High-Performance Optical Network for Rack-Scale Computers

Jun Feng, Jiaxu Zhang, Shixi Chen, and Jiang Xu

Chapter 4 Network-in-Package for Low-Power and High-Performance Computing

Armin Tajalli

Section II Device- and System-Level Challenges and Improvements

Chapter 5 System-Level Management of Silicon-Photonic Networks in 2.5D Systems

Aditya Narayan, Ajay Joshi, and Ayse K. Coskun

Chapter 6 Thermal Reliability and Communication Performance Co-optimization for WDM-Based Optical Networks-on-Chip

Mengquan Li and Weichen Liu

Chapter 7 Exploring Aging Effects in Photonic Interconnects for High-Performance Manycore Architectures

Ishan G. Thakkar, Sudeep Pasricha, Venkata Sai Praneeth Karempudi, and Sai Vineel Reddy Chittamuru

Chapter 8 Improving Energy Efficiency in Silicon Photonic Networks-on-Chip with Approximation Techniques

Febin P. Sunny, Asif Mirza, Ishan Thakkar, Sudeep Pasricha, and Mahdi Nikdast

Section III Novel Design Solutions and Automation

Chapter 9 Automated, Scalable Silicon Photonics Design and Verification

John Ferguson, Tom Daspit, Omar El-Sewefy, and Mohamed Youssef

Chapter 10 Inverse-Design for High-Performance Computing Photonics

Jinhie Skarda, Geun Ho Ahn, Rahul Trivedi, Tony Wu, Subhasish Mitra, and Jelena Vučković

Chapter 11 Efficiency-Oriented Design Automation Methods for Wavelength-Routed Optical Network-on-Chip

Tsun-Ming Tseng, Mengchu Li, Zhidan Zheng, Alexandre Truppel, and Ulf Schlichtmann

Section IV Novel Materials, Devices, and Photonic Integrated Circuits

Chapter 12 Innovative DWDM Silicon Photonics for High-Performance Computing

G. Kurczveil, Y. Yuan, J. Youn, B. Tossoun, Y. Hu, S. Mathai, P. Sun, J. Hulme, and D. Liang

Chapter 13 Silicon Photonic Bragg Grating Devices

Mustafa Hammood, Lukas Chrostowski, and Nicolas A. F. Jaeger

Chapter 14 Silicon Photonic Integrated Circuits for OAM Generation and Multiplexing

Yuxuan Chen, Wei Shi, and Leslie A. Rusch

Chapter 15 Novel Materials for Active Silicon Photonics

Chi Xiong

Section V Emerging Computing Technologies and Applications

Chapter 16 Neuromorphic Silicon Photonics

S. Bilodeau, T. Ferreira de Lima, C. Huang, B. J. Shastri, and P. R. Prucnal

Chapter 17 Logic Computing and Neural Network on Photonic Integrated Circuit

Zheng Zhao, Zhoufeng Ying, Chenghao Feng, Ray T. Chen, and David Z. Pan

Chapter 18 High-Performance Programmable MZI-Based Optical Processors

Farhad Shokraneh, Simon Geoffroy-Gagnon, and Odile Liboiron-Ladouceur

Chapter 19 High-Performance Deep Learning Acceleration with Silicon Photonics

Febin P. Sunny, Asif Mirza, Mahdi Nikdast, and Sudeep Pasricha

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Editor(s)

Biography

Mahdi Nikdast is an Assistant Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU), Fort Collins.

Sudeep Pasricha is currently a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, at Colorado State University (CSU).


Gabriela Nicolescu is a full professor at Polytechnique Montréal, Candra in the Department of Software and Computer Engineering.


Ashkan Seyedi is a research scientist at Hewlett Packard Enterprise and has been working on developing high-bandwidth, efficient optical interconnects for exascale and high-performance computing applications.

Di Liang is currently a Distinguished Technologist and Research Manager at Hewlett Packard Labs in Hewlett Packard Enterprise.