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20202025
most citedRecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics

7 citations · 20 across the 17 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.ET2021★ 1 cited

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…

cs.LG2021

SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning

Febin Sunny, Mahdi Nikdast, Sudeep Pasricha

Sparse neural networks can greatly facilitate the deployment of neural networks on resource-constrained platforms as they offer compact model sizes while retaining inference accura…

cs.LG2021

ROBIN: A Robust Optical Binary Neural Network Accelerator

Febin P. Sunny, Asif Mirza, Mahdi Nikdast +1

Domain specific neural network accelerators have garnered attention because of their improved energy efficiency and inference performance compared to CPUs and GPUs. Such accelerato…

cs.ET2021★ 2 cited

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…

cs.ET2021

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…

cs.LG2021

CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator

Febin Sunny, Asif Mirza, Mahdi Nikdast +1

Domain-specific neural network accelerators have seen growing interest in recent years due to their improved energy efficiency and inference performance compared to CPUs and GPUs.…