23 citations · 23 across the 5 of their papers we have counts for
6 papers
Scaling Photonic Tensor Cores with Unary and Homodyne Designs
Oluwaseun Alo, Ishan Thakkar
We analyze five photonic microring tensor core designs with a common optical power model. The results show that circuit ordering, unary encoding, and homodyne accumulation shape sc…
Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing
S. Afifi, O. Alo, I. Thakkar +1
Transformers achieve state-of-the-art performance in natural language processing, vision, and scientific computing, but demand high computation and memory. To address these challen…
Scaling Analog Photonic Accelerators for Byte-Size, Integer General Matrix Multiply (GEMM) Kernels
Oluwaseun Adewunmi Alo, Sairam Sri Vatsavai, Ishan Thakkar
Deep Neural Networks (DNNs) predominantly rely on General Matrix Multiply (GEMM) kernels, which are often accelerated using specialized hardware architectures. Recently, analog pho…
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis
Abdul Rasak Zubair, Oluwaseun Adewunmi Alo
Grey Level Co-occurrence Matrix and Grey Level Difference Vector are described and computed for twenty four 128 x 128 x 3 test images along horizontal, vertical and diagonal direct…
A Low-Dissipation and Scalable GEMM Accelerator with Silicon Nitride Photonics
Venkata Sai Praneeth Karempudi, Sairam Sri Vatsavai, Ishan Thakkar +3
Over the past few years, several microring resonator (MRR)-based analog photonic architectures have been proposed to accelerate general matrix-matrix multiplications (GEMMs), which…
A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators
Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi, Oluwaseun Adewunmi Alo +1
Several microring resonator (MRR) based analog photonic architectures have been proposed to accelerate general matrix-matrix multiplications (GEMMs) in deep neural networks with ex…