Design Space Exploration for PCM-based Photonic Memory
Amin Shafiee, Benoit Charbonnier, Sudeep Pasricha, Mahdi, Nikdast

TL;DR
This paper explores the design space of PCM-based optical memory cells, analyzing material choices, capacity, latency, and power, to develop scalable, energy-efficient photonic memory arrays with improved performance over electronic systems.
Contribution
It introduces a comprehensive design space exploration for PCM-based optical memory cells, including material selection and array scalability, advancing photonic memory technology.
Findings
Material choice impacts power and latency significantly
Identified bottlenecks in scalability and energy efficiency
Proposed design improvements for scalable optical memory arrays
Abstract
The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems. In particular, the nonvolatile programmability in PCMs has made them a promising candidate for implementing optical memory systems. In this paper, we describe the design of an optical memory cell based on PCMs while exploring the design space of the cell in terms of PCM material choice (e.g., GST, GSST, Sb2Se3), cell bit capacity, latency, and power consumption. Leveraging this design-space exploration for the design of efficient optical memory cells, we present the design and implementation of an optical memory array and explore its scalability and power consumption when using different optical memory cells. We also identify performance bottlenecks that need to be alleviated to further scale optical memory arrays with…
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Taxonomy
TopicsPhotonic and Optical Devices · Optical Network Technologies · Neural Networks and Reservoir Computing
