activity
20202026
most citedCharacterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations

32 citations · 107 across the 33 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.AR2023

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.…

cs.DC2023

RISA: Round-Robin Intra-Rack Friendly Scheduling Algorithm for Disaggregated Datacenters

Rashadul Kabir, Ryan G. Kim, Mahdi Nikdast

Recent trends see a move away from a fixed-resource server-centric datacenter model to a more adaptable "disaggregated" datacenter model. These disaggregated datacenters can then d…

cs.ET2023★ 2 cited

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…

cs.ET2023

SerIOS: Enhancing Hardware Security in Integrated Optoelectronic Systems

Felipe Gohring de Magalhaes, Mahdi Nikdast, Gabriela Nicolescu

Silicon photonics (SiPh) has different applications, from enabling fast and high-bandwidth communication for high-performance computing systems to realizing energy-efficient optica…

cs.ET2023★ 1 cited

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…

cs.AR2023★ 2 cited

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…

cs.ET2023★ 1 cited

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…

cs.LG2023★ 4 cited

TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics

Salma Afifi, Febin Sunny, Mahdi Nikdast +1

Transformer neural networks are rapidly being integrated into state-of-the-art solutions for natural language processing (NLP) and computer vision. However, the complex structure o…

cs.LG2023

Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing

Febin Sunny, Mahdi Nikdast, Sudeep Pasricha

Emerging AI applications such as ChatGPT, graph convolutional networks, and other deep neural networks require massive computational resources for training and inference. Contempor…

cs.AR2023

Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics

Febin Sunny, Ebadollah Taheri, Mahdi Nikdast +1

Domain-specific machine learning (ML) accelerators such as Google's TPU and Apple's Neural Engine now dominate CPUs and GPUs for energy-efficient ML processing. However, the evolut…