CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect
Shamiul Alam, Md Mazharul Islam, Md Shafayat Hossain, Akhilesh, Jaiswal, and Ahmedullah Aziz

TL;DR
CryoCiM introduces a cryogenic compute-in-memory system leveraging quantum anomalous Hall effect for ultra-low power, robust data storage and computation, addressing the memory bottleneck in cryogenic computing architectures.
Contribution
This work presents the first cryogenic compute-in-memory framework using QAHE-based non-volatile memory for integrated storage and logic operations.
Findings
Performs memory read/write and universal logic operations at cryogenic temperatures.
Utilizes topologically protected states for robust data storage.
Achieves ultra-low power operation in the nano-watt range.
Abstract
The scaling of the already-matured CMOS technology is steadily approaching its physical limit, motivating the quest for a suitable alternative. Cryogenic operation offers a promising pathway towards continued improvement in computing speed and energy efficiency without aggressive scaling. However, the memory wall bottleneck of the traditional von-Neumann architecture persists even at cryogenic temperature. That is where a compute-in-memory (CiM) architecture, that embeds computing within the memory unit, comes into play. Computations within the memory unit help reduce the expensive data transfer between the memory and the computing units. Therefore, CiM provides extreme energy efficiency that can enable lower cooling cost at cryogenic temperature. In this work, we demonstrate CryoCiM, a cryogenic compute-in-memory framework utilizing a non-volatile memory system based on the quantum…
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