32 citations · 107 across the 33 of their papers we have counts for
6 papers · 1 filter
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…
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.…
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…
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…
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.…