2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…