7 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning
Abhishek Balasubramaniam, Febin P Sunny, Sudeep Pasricha
Object detectors used in autonomous vehicles can have high memory and computational overheads. In this paper, we introduce a novel semi-structured pruning framework called R-TOSS t…
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…
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics
Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
Recurrent Neural Networks (RNNs) are used in applications that learn dependencies in data sequences, such as speech recognition, human activity recognition, and anomaly detection.…