45 citations · 214 across the 86 of their papers we have counts for
12 papers · 1 filter
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
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…
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…
DeFT: A Deadlock-Free and Fault-Tolerant Routing Algorithm for 2.5D Chiplet Networks
Ebadollah Taheri, Sudeep Pasricha, Mahdi Nikdast
By interconnecting smaller chiplets through an interposer, 2.5D integration offers a cost-effective and high-yield solution to implement large-scale modular systems. Nevertheless,…
Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis
Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha +1
Singular-value-decomposition-based coherent integrated photonic neural networks (SC-IPNNs) have a large footprint, suffer from high static power consumption for training and infere…
CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks
Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha +1
We propose a novel hardware-aware magnitude pruning technique for coherent photonic neural networks. The proposed technique can prune 99.45% of network parameters and reduce the st…
Photonic Networks-on-Chip Employing Multilevel Signaling: A Cross-Layer Comparative Study
Venkata Sai Praneeth Karempudi, Febin Sunny, Ishan G Thakkar +3
Photonic network-on-chip (PNoC) architectures employ photonic links with dense wavelength-division multiplexing (DWDM) to enable high throughput on-chip transfers. Unfortunately, i…
ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip
Febin Sunny, Asif Mirza, Ishan Thakkar +2
The approximate computing paradigm advocates for relaxing accuracy goals in applications to improve energy-efficiency and performance. Recently, this paradigm has been explored to…
A Survey on Silicon Photonics for Deep Learning
Febin P Sunny, Ebadollah Taheri, Mahdi Nikdast +1
Deep learning has led to unprecedented successes in solving some very difficult problems in domains such as computer vision, natural language processing, and general pattern recogn…