activity
20202026
most citedARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip

2 citations · 8 across the 30 of their papers we have counts for

collaborators

31 papers

cs.CV2026

HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification

Md Farhadul Islam, Ishan Thakkar, J. Todd Hastings

Recent image classification models must balance local feature modeling, cross-window interaction, and parameter efficiency. Many high-performing architectures rely on fully trainab…

physics.optics2026

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…

cs.AR2026

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…

cs.ET2024

Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays

Changpeng Ti, Usman Hassan, Sairam Sri Vatsavai +8

Patterned nanomagnet arrays (PNAs) have been shown to exhibit a strong geometrically frustrated dipole interaction. Some PNAs have also shown emergent domain wall dynamics. Previou…

cs.CR2024

SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators

Salma Afifi, Ishan Thakkar, Sudeep Pasricha

The rapid proliferation of deep learning has revolutionized computing hardware, driving innovations to improve computationally expensive multiply-and-accumulate operations in deep…

cs.AR2024

ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks

Salma Afifi, Ishan Thakkar, Sudeep Pasricha

Transformers have emerged as a powerful tool for natural language processing (NLP) and computer vision. Through the attention mechanism, these models have exhibited remarkable perf…