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Optical Computing for Deep Neural Network Acceleration: Foundations,
  Recent Developments, and Emerging Directions

Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions

30 July 2024
S. Pasricha
ArXivPDFHTML

Papers citing "Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions"

5 / 5 papers shown
Title
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured
  Pruning
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning
Abhishek Balasubramaniam
Febin P. Sunny
S. Pasricha
VLM
28
12
0
03 Mar 2023
A Silicon Photonic Accelerator for Convolutional Neural Networks with
  Heterogeneous Quantization
A Silicon Photonic Accelerator for Convolutional Neural Networks with Heterogeneous Quantization
Febin P. Sunny
Mahdi Nikdast
S. Pasricha
MQ
25
16
0
17 May 2022
SONIC: A Sparse Neural Network Inference Accelerator with Silicon
  Photonics for Energy-Efficient Deep Learning
SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning
Febin P. Sunny
Mahdi Nikdast
S. Pasricha
33
22
0
09 Sep 2021
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded
  Automotive Platforms
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms
Vipin Kumar Kukkala
S. V. Thiruloga
S. Pasricha
34
24
0
12 Jul 2021
ROBIN: A Robust Optical Binary Neural Network Accelerator
ROBIN: A Robust Optical Binary Neural Network Accelerator
Febin P. Sunny
Asif Mirza
Mahdi Nikdast
S. Pasricha
MQ
15
35
0
12 Jul 2021
1