Compute-in-Memory SRAM Cell Using Multistate Spatial Wavefunction Switched (SWS)-Quantum Dot Channel (QDC) FET-Reference-Cited by-同舟云学术

Compute-in-Memory SRAM Cell Using Multistate Spatial Wavefunction Switched (SWS)-Quantum Dot Channel (QDC) FET

Published:2023-07-20 Issue:02n04 Volume:32 Page:
ISSN:0129-1564
Container-title:International Journal of High Speed Electronics and Systems
language:en
Short-container-title:Int. J. Hi. Spe. Ele. Syst.

Author:

Gudlavalleti Raja Hari¹,Heller Evan²,Chandy John¹,Jain Faquir¹

Affiliation:

1. University of Connecticut, CT, USA

2. Synopysis Inc., Ossining, NY, USA

Abstract

This paper presents multistate spatial wavefunction switched (SWS)-quantum dot channel (QDC) field-effect transistor (FET) static random access memory (SRAM)-based Compute-in-Memory (CIM) cell. The SWS-QDC FETs have two or more vertically stacked coupled quantum dot channels, and the spatial location of carriers within these channels is governed by the applied gate voltage. The location of the carriers can be utilized to encode multiple logic levels within a single device. The utilization of SWS-QDC FETs in CIM cell increases the data storage and energy-efficient computation in the memory. CIM reduces the data access time and improves performance for energy-efficient artificial intelligence (AI) edge devices.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electronic, Optical and Magnetic Materials

Link

https://www.worldscientific.com/doi/pdf/10.1142/S012915642350012X

Reference9 articles.

1. A Logic-in-Memory Computer

2. Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices

3. 8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing

4. An SRAM-Based Multibit In-Memory Matrix-Vector Multiplier With a Precision That Scales Linearly in Area, Time, and Power

5. Quantum Dot Channel FETs Harnessing Mini-Energy Band Transitions in GeO_x-Ge and Si QDSL for Multi-Bit Computing

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1. In-Memory Computing Using Dot-Product via Multi-Bit QD-NVRAMs;International Journal of High Speed Electronics and Systems;2024-07-25

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