Multi-Level Encoding and Decoding in a Scalable Photonic Tensor Processor With a Photonic General Matrix Multiply (GeMM) Compiler-Reference-Cited by-同舟云学术

Multi-Level Encoding and Decoding in a Scalable Photonic Tensor Processor With a Photonic General Matrix Multiply (GeMM) Compiler

Published:2022-11 Issue:6 Volume:28 Page:1-14
ISSN:1077-260X
Container-title:IEEE Journal of Selected Topics in Quantum Electronics
language:
Short-container-title:IEEE J. Select. Topics Quantum Electron.

Author:

Guo Zhimu¹^ORCID,Tait Alexander N.²^ORCID,Marquez Bicky A.¹^ORCID,Filipovich Matthew¹^ORCID,Morison Hugh¹^ORCID,Prucnal Paul R.³,Chrostowski Lukas⁴^ORCID,Shekhar Sudip⁴^ORCID,Shastri Bhavin J.¹^ORCID

Affiliation:

1. Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON, Canada

2. Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada

3. Department of Electrical Engineering, Princeton University, Princeton, NJ, USA

4. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Foundation for Innovation

Queen's University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/2944/9864635/09851450.pdf?arnumber=9851450

Reference37 articles.

1. 56GHz waveguide Ge/Si avalanche photodiode

2. Scaling up silicon photonic-based accelerators: Challenges and opportunities

3. Effective Implementation of Matrix–Vector Multiplication on Intel's AVX multicore Processor

4. A GEMM interface and implementation on NVIDIA GPUs for multiple small matrices

5. Connecting Silicon Photonic Circuits to Multicore Fibers by Photonic Wire Bonding

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum-Driven Big Data Processing;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

2. Roadmapping the next generation of silicon photonics;Nature Communications;2024-01-25

3. Hashing for secure optical information compression in a heterogeneous convolutional neural network;Applied Physics Reviews;2023-05-30

4. Low-phase quantization error Mach–Zehnder interferometers for high-precision optical neural network training;APL Photonics;2023-04-01

5. Michelson interferometric methods for full optical complex convolution;AI and Optical Data Sciences IV;2023-03-15