Silicon photonics has emerged as a promising solution to realize high-performance computing (HPC) systems required in the Big Data era. Having various applications in the domains of HPC, data centers, sensors and bio-sensing, aerospace, artificial intelligence (AI), etc., it has attracted researchers from academia and industries in different fields to explore various benefits and challenges of this technology. As an emerging area, it demands multidisciplinary collaborations and contributions, from material science and engineering, for realizing low-loss CMOS compatible components, to novel system architectures and software CAD and design tools to explore the design space of the resulting complex devices and systems. The North American Workshop on Silicon Photonics for High-Performance Computing (SPHPC) brings together experts from academia and industry working on silicon photonics and HPC (and other applications) to discuss the latest advances, remaining challenges, and research opportunities in this field.
Photonics for AI and AI for Photonics
The North American Workshop on Silicon Photonics for High-Performance Computing (SPHPC) will bring together experts in Silicon Photonics and in High-Performance Computing (HPC architects and experts, interconnect architects, HPC systems modeling, etc.) to discuss the state-of-the-art with Silicon Photonics based HPC interconnects and computing platforms (e.g., AI accelerators), and the main challenges that must be addressed to accelerate their development. It will consist of invited talks of the highest caliber from academia, industry, and government agencies as well as from different related disciplines.
For SPHPC’23, we will focus on a special theme on Photonics for AI and AI for Photonics. In addition, SPHPC will host a student presentation session to invite students working in this area to present their projects at the workshop and receive feedback on their work. This is the event for meeting professionals in the field as well as exchanging and exploring new ideas.
Date and Time
Location
Hosts
Registration
- Date: 26 Feb 2023
- Time: 08:00 AM to 12:30 PM
- All times are (GMT-05:00) Canada/Eastern
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- Hotel Bonaventure Montreal
- 900 Rue De La Gauchetière O
- Montréal, Quebec
- Canada H5A 1E4
- Contact Event Hosts
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Mahdi Nikdast (General Co-Chair): Mahdi.Nikdast@colostate.edu
Kaveh Mojaver (McGill University) : hassan.rahbardarmojaver@
mcgill.ca - Co-sponsored by Silicon Photonics high-performance computing (SPHPC), 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA-29); Centre for Systems, Technologies and Applications for Radiofrequency and Communication (STARaCom);
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Speakers
Invited Speakers : register now!
Dan-Xia Xu, National Research Council (NRC), Canada : Optimization in the Non-Convex Design Space of Nanophotonic Components: Mitigation Strategies Using Machine Learning
David Pan, The University of Texas at Austin, USA : Closing the Virtuous Cycle of Photonics for AI and AI for Photonics
Dusan Gostimirovic, McGill University, Canada : Fabrication-Aware Design of Integrated Photonic Devices Using Convolutional Neural Networks
Emanuel Peinke, 3e8, Canada : A Scalable Optics Computing Approach
Sean Pang, University of Central Florida, USA : Coherent Matrix Accelerator for Scalable Photonic Information Processing
Nathan Youngblood, University of Pittsburgh, USA : Photonic Architectures for Computing In Memory Using Nonvolatile Optical Materials
Sebastien Le Beux, Concordia University, Canada : A Nanophotonic Interconnect based on Non-Volatile Phase Change Material
Sudeep Pasricha, Colorado State University, USA : Cross-Layer Design of Machine Learning Accelerators with Silicon Photonics
Volker J. Sorger, George Washington University, USA : Photonic Machine Intelligence: Tensor Core, Convolution Accelerator, Chip Packaging
Student presentations
Kh Arif Shahriar, ECE Department, McGill University, Canada
Daniel Hutama, School of Electrical and Computer Engineering, University of Ottawa, Canada
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SPHPC’23 welcomes Graduate Students (Ph.D. and MS) and Postdoctoral Fellows working in the area of Photonics for AI and AI for Photonics to attend the workshop. In addition, selected students will have an opportunity to present their work at SPHPC’23. To be selected for a presentation at SPHPC’23, students should submit the following:
- A one-page summary (extended abstract) of the Ph.D./MS/Postdoc work based on IEEE conference template. The one-page paper should clearly list the main contributions of the Ph.D./MS/Postdoc work. Also, it should include a list of recent publications, if any, in the reference section. Kindly note that this abstract will not be published, but will be made available to the workshop attendees;
- A support letter from your advisor, sanctioning the submission and acknowledging willingness to support the students’ travel and registration for the workshop.
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Present a 5-minute talk summarizing your Ph.D./MS/Postdoc work at SPHPC’23.
All the submissions will be reviewed carefully in terms of quality and relevance to the workshop topics and interests. If your submission is accepted, you must present your work in person at SPHPC’23. Merge all the requirements in a SINGLE PDF FILE and submit it by email to Mahdi.Nikdast@colostate.edu (subject line: SPHPC’23 Student Presentation – YOUR NAME).
SPHPC’23 will cover the registration fee (to attend the workshop) for some selected students. In addition, there will be a Student Presentation Award for the best student presentation (to be determined by a committee) at the workshop.
Important Dates
- Application Submission: January 31, 2023 (Firm deadline)
- Acceptance Notification: February 5, 2023
Agenda
https://www.engr.colostate.edu/SPHPC/program/
| Time | Speaker | Topic | |
| Session 1
Chair: Mahdi Nikdast (Feb. 26th) |
8:00 am – 8:20 am | Volker J. Sorger
George Washington University, USA |
Photonic Machine Intelligence: Tensor Core, Convolution Accelerator, Chip Packaging |
| 8:20 am – 8:40 am | Sean Pang
University of Central Florida, USA |
Coherent Matrix Accelerator for Scalable Photonic Information Processing | |
| 8:40 am – 9:00 am | Sudeep Pasricha
Colorado State University, USA |
Cross-Layer Design of Machine Learning Accelerators with Silicon Photonics | |
| 9:00 am – 9:20 am | Ajay Joshi, Boston University, USA | Photonic Computing Architectures for AI: A Systems Perspective | |
| 9:20 am – 9:40 am | Sebastien Le Beux
Concordia University, Canada |
A Nanophotonic Interconnect based on Non-Volatile Phase Change Material | |
| 9:40 am – 9:50 am | Kh Arif Shahriar
PhD student, ECE Department, McGill University, Canada |
TBC | |
| 9:50 am – 10:00 am | Daniel Hutama
School of Electrical and Computer Engineering, University of Ottawa, Canada |
TBC | |
| Coffee break | 10:00 am – 10:20 am | ||
| Session 2
Chair: Kaveh Rahbardar Mojaver (Feb. 26th) |
10:20 am – 10:40 am | Bhavin Shastri
Queens University, Canada |
Neuromorphic Silicon Photonics and Applications from Classical to Quantum |
| 10:40 am – 11:00 am | Emanuel Peinke
3e8, Canada |
A Scalable Optics Computing Approach | |
| 11:00 am – 11:20 am | Nathan Youngblood
University of Pittsburgh, USA |
Photonic Architectures for Computing In Memory Using Nonvolatile Optical Materials | |
| 11:20 am – 11:40 am | Dan-Xia Xu
National Research Council (NRC), Canada |
Optimization in the Non-Convex Design Space of Nanophotonic Components: Mitigation Strategies Using Machine Learning | |
| 11:40 am – 12:00 pm | Dusan Gostimirovic
McGill University, Canada |
Fabrication-Aware Design of Integrated Photonic Devices Using Convolutional Neural Networks | |
| 12:00 pm – 12:20 pm | David Pan
The University of Texas at Austin, USA |
Closing the Virtuous Cycle of Photonics for AI and AI for Photonics |
For information about the workshop, please visit https://www.engr.colostate.