Abstract

Traditional von Neumann architectures suffer from fundamental bottlenecks due to continuous data movement between memory and processing units, a challenge that worsens with technology scaling as electrical interconnect delays become more significant. These limitations impede the performance and energy efficiency required for modern data-intensive applications. In contrast, photonic in-memory computing presents a promising alternative by harnessing the advantages of light, enabling ultra-fast data propagation without length-dependent impedance, thereby significantly reducing computational latency and energy consumption. This work proposes a novel differential photonic static random access memory (pSRAM) bitcell that facilitates electro-optic data storage while enabling ultra-fast in-memory Boolean XOR computation. By employing cross-coupled microring resonators and differential photodiodes, the …

Date

2025

Authors

Md Abdullah-Al Kaiser, Sugeet Sunder, Ajey P Jacob, Akhilesh R Jaiswal

Conference

2025 IEEE 36th International Conference on Application-specific Systems, Architectures and Processors (ASAP)

Pages

49-56

Publisher

IEEE