Bültmann & Gerriets
Silicon Photonics for High-Performance Computing and Beyond
von Mahdi Nikdast, Sudeep Pasricha, Gabriela Nicolescu, Ashkan Seyedi
Verlag: Taylor & Francis
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ISBN: 978-1-000-48011-5
Auflage: 1. Auflage
Erschienen am 16.11.2021
Sprache: Englisch
Umfang: 408 Seiten

Preis: 80,99 €

Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

This book 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.



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.



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.


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