Abstract

Photonics-based in-memory computing systems have demonstrated a significant speedup over traditional transistor-based systems because of their ultra-fast operating frequencies and high data bandwidths. Photonic static random access memory (pSRAM) is a crucial component for achieving the objective of ultra-fast photonic in-memory computing systems. In this work, we model and evaluate the performance of a novel photonic SRAM array architecture in development. Additionally, we examine hyperspectral operation through wavelength division multiplexing (WDM) to enhance the throughput of the pSRAM array. We map Matricized Tensor Times Khatri-Rao Product (MTTKRP), a computational kernel commonly used in tensor decomposition, to the proposed pSRAM array architecture. We also develop a predictive performance model to estimate the sustained performance of different configurations of the …

Metadata

publication

arXiv preprint arXiv:2503.18206, 2025

year

2025

publication date

2024/9/23

authors

Sasindu Wijeratne, Sugeet Sunder, Md Abdullah-Al Kaiser, Akhilesh Jaiswal, Clynn Mathew, Ajey P Jacob, Viktor Prasanna

link

https://ieeexplore.ieee.org/abstract/document/10938433/

resource_link

https://arxiv.org/pdf/2503.18206

conference

2024 IEEE High Performance Extreme Computing Conference (HPEC)

pages

1-5

publisher

IEEE