32 citations · 41 across the 10 of their papers we have counts for
11 papers
LightPro: A Linear Photonic Processor with Full Programmability
Amin Shafiee, Zahra Ghanaatian, Benoit Charbonnier +1
In this paper, we propose a novel fully programmable linear photonic processor, which we call LightPro, with improved scalability, performance, and footprint. At the heart of Light…
LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search
Amin Shafiee, Febin Sunny, Sudeep Pasricha +1
We demonstrate a novel coherent photonic neural network using tunable phase-change-material-based couplers and neural architecture search. Compared to the MZI-based Clements networ…
Enabling Scalable Photonic Tensor Cores with Polarization-Domain Photonic Computing
Amin Shafiee, Linhong Chen, Sudeep Pasricha +2
We present a silicon-photonic tensor core using 2D ferroelectric materials to enable wavelength- and polarization-domain computing. Results, based on experimentally characterized m…
OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
Febin Sunny, Amin Shafiee, Abhishek Balasubramaniam +2
Recent advances in machine learning (ML) have spotlighted the pressing need for computing architectures that bridge the gap between memory bandwidth and processing power. The adven…
COMET: A Cross-Layer Optimized Optical Phase Change Main Memory Architecture
Febin Sunny, Amin Shafiee, Benoit Charbonnier +2
Traditional DRAM-based main memory systems face several challenges with memory refresh overhead, high latency, and low throughput as the industry moves towards smaller DRAM cells.…
Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks
Amin Shafiee, Sanmitra Banerjee, Benoit Charbonnier +2
We present an optimized Mach-Zehnder Interferometer (MZI) with phase change materials for photonic neural networks (PNNs). With 0.2 dB loss, -38 dB crosstalk, and length of 52 micr…
Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks
Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty +2
With the continuous increase in the size and complexity of machine learning models, the need for specialized hardware to efficiently run such models is rapidly growing. To address…
GHOST: A Graph Neural Network Accelerator using Silicon Photonics
Salma Afifi, Febin Sunny, Amin Shafiee +2
Graph neural networks (GNNs) have emerged as a powerful approach for modelling and learning from graph-structured data. Multiple fields have since benefitted enormously from the ca…
Design Space Exploration for PCM-based Photonic Memory
Amin Shafiee, Benoit Charbonnier, Sudeep Pasricha +1
The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems. In particul…
Characterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations
Asif Mirza, Amin Shafiee, Sanmitra Banerjee +3
Silicon-photonic neural networks (SPNNs) have emerged as promising successors to electronic artificial intelligence (AI) accelerators by offering orders of magnitude lower latency…
LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks
Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty +2
Compared to electronic accelerators, integrated silicon-photonic neural networks (SP-NNs) promise higher speed and energy efficiency for emerging artificial-intelligence applicatio…