Optical memory in IoT devices: an energy-efficient approach using phase change materials

Belal Jahannia; Jiachi Ye; Salem Altaleb; Chandraman Patil; Elham Heidari; Volker J. Sorger; Nicola Peserico; Hamed Dalir

doi:10.1117/12.3003184

13 March 2024 Optical memory in IoT devices: an energy-efficient approach using phase change materials

Belal Jahannia, Jiachi Ye, Salem Altaleb, Chandraman Patil, Elham Heidari, Volker J. Sorger, Nicola Peserico, Hamed Dalir

Author Affiliations +

Proceedings Volume 12903, AI and Optical Data Sciences V; 1290305 (2024) https://doi.org/10.1117/12.3003184
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

As Internet-of-Things (IoT) devices continue to grow rapidly in number, developing energy-efficient memory solutions has become critically important. This paper introduces an innovative Phase Change Memory (PCM) architecture that can significantly reduce memory energy consumption in IoT devices. After highlighting the energy-inefficiency of current memory designs, we explore the possibilities of leveraging PCM. We demonstrate that the benefits of exploiting PCM are dependent on the working frequency of the CPU and show how PCM can surpass devices with SRAM and DRAM. As a replacement candidate for FLASH, PCM can also be utilized instead of SRAM and DRAM. We also demonstrate that based on the application we can also save more energy. Ongoing work focuses on deployment of this application dependency and enhancing energy efficiency of devices using PCM. Our PCM innovation enables improved functionality lifetimes for non-volatile IoT edge devices. This represents a major advance towards realizing widespread integration of photonics and electronics in IoT hardware.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Belal Jahannia, Jiachi Ye, Salem Altaleb, Chandraman Patil, Elham Heidari, Volker J. Sorger, Nicola Peserico, and Hamed Dalir "Optical memory in IoT devices: an energy-efficient approach using phase change materials", Proc. SPIE 12903, AI and Optical Data Sciences V, 1290305 (13 March 2024); https://doi.org/10.1117/12.3003184

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