A survey on silicon photonics for deep learning

FP Sunny, E Taheri, M Nikdast, S Pasricha - ACM Journal of Emerging …, 2021 - dl.acm.org
Deep learning has led to unprecedented successes in solving some very difficult problems
in domains such as computer vision, natural language processing, and general pattern …

ReSiPI: A reconfigurable silicon-photonic 2.5 D chiplet network with PCMs for energy-efficient interposer communication

E Taheri, S Pasricha, M Nikdast - Proceedings of the 41st IEEE/ACM …, 2022 - dl.acm.org
2.5 D chiplet systems have been proposed to improve the low manufacturing yield of large-
scale chips. However, connecting the chiplets through an electronic interposer imposes a …

Swint: A non-blocking switch-based silicon photonic interposer network for 2.5 d machine learning accelerators

E Taheri, MA Mahdian, S Pasricha… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
The surging demand for machine learning (ML) applications has emphasized the pressing
need for efficient ML accelerators capable of addressing the computational and energy …

TRINE: A Tree-Based Silicon Photonic Interposer Network for Energy-Efficient 2.5 D Machine Learning Acceleration

E Taheri, MA Mahdian, S Pasricha… - Proceedings of the 16th …, 2023 - dl.acm.org
2.5 D chiplet systems have showcased low manufacturing costs and modular designs for
machine learning (ML) acceleration. Nevertheless, communication challenges arise from …

Operation-level performance benchmarking of graph neural networks for scientific applications

R Hosseini, F Simini, V Vishwanath - arXiv preprint arXiv:2207.09955, 2022 - arxiv.org
As Graph Neural Networks (GNNs) increase in popularity for scientific machine learning,
their training and inference efficiency is becoming increasingly critical. Additionally, the deep …

Key technologies of photonic artificial intelligence chip structure and algorithm

L Pei, Z Xi, B Bai, J Wang, X Zuo, T Ning, J Zheng, J Li - Applied Sciences, 2021 - mdpi.com
Artificial intelligence chips (AICs) are the intersection of integrated circuits and artificial
intelligence (AI), involving structure design, algorithm analysis, chip fabrication and …

Design and Optimization of Efficient, Fault-Tolerant and Secure 2.5 D Chiplet Systems

E Taheri - 2024 - search.proquest.com
In response to the burgeoning demand for high-performance computing systems, this Ph. D.
dissertation investigates the pivotal challenges surrounding Networks-on-Chip (NoCs) …