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.
Edited by:
Mahdi Nikdast (Colorado State University USA.),
Sudeep Pasricha (Colorado State University,
USA),
Gabriela Nicolescu (Polytechnique Montréal,
Canada.),
Ashkan Seyedi (Hewlett Packard Labs,
USA.),
Di Liang (Hewlett Packard Labs,
USA.)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions:
Height: 254mm,
Width: 178mm,
Weight: 752g
ISBN: 9781032122441
ISBN 10: 1032122447
Pages: 386
Publication Date: 29 January 2024
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
Section 1: High-Performance Computing Interconnect Requirements and Advances. 1. Silicon Photonic Modulation for High Performance Computing. 2. Laser Modulation Schemes for Minimizing Static Power Dissipation. 3. Scalable Low-Power High-Performance Optical Network for Rack-Scale Computers. 4. Network-in-Package for Low-Power and High-Performance Computing. Section 2: Device- and System-Level Challenges and Improvements. 5. System-Level Management of Silicon-Photonic Networks in 2.5D Systems. 6. Thermal Reliability and Communication Performance Co-optimization for WDM-Based Optical Networks-on-Chip. 7. Exploring Aging Effects in Photonic Interconnects for High-Performance Manycore Architectures. 8. Improving Energy Efficiency in Silicon Photonic Networks-on-Chip with Approximation Techniques. Section 3: Novel Design Solutions and Automation. 9. Automated, Scalable Silicon Photonics Design and Verification. 10. Inverse-Design for High- Performance Computing Photonics. 11. Efficiency-Oriented Design of Wavelength-Routed Optical Network-on-Chip. Section 4: Novel Materials, Devices, and Photonic Integrated Circuits. 12. Innovative DWDM Silicon Photonics for High Performance Computing. 13. Silicon Photonic Bragg Grating Devices. 14. Silicon Photonic Integrated Circuits for OAM Generation and Multiplexing. 15. Novel Materials for Active Silicon Photonics. Section 5: Emerging Computing Technologies and Applications. 16. Neuromorphic Silicon Photonics. 17. Logic Computing and Neural Network on Photonic Integrated Circuit. 18. High-Performance Programmable MZI-Based Optical Processors. 19. High Performance Deep Learning Acceleration with Silicon Photonics.
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.
