Exploration and design of SAR/SS ADC for in-memory computation

Compute-in-memory (CIM), as a solution to the von Neumann bottleneck, has gained widespread attention in recent years. In CIM operations, ADCs are typically required to convert analog voltages into digital codes. However, current CIM ADCs often demand substantial silicon area and operational power c...

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Main Author: Liu, Fengge
Other Authors: Kim Tae Hyoung
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173431
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author Liu, Fengge
author2 Kim Tae Hyoung
author_facet Kim Tae Hyoung
Liu, Fengge
author_sort Liu, Fengge
collection NTU
description Compute-in-memory (CIM), as a solution to the von Neumann bottleneck, has gained widespread attention in recent years. In CIM operations, ADCs are typically required to convert analog voltages into digital codes. However, current CIM ADCs often demand substantial silicon area and operational power consumption. Therefore, the ADCs employed in CIM structures often impose high requirements on power consumption and silicon area. This paper presents the realization of a SAR/SS ADC with area efficiency. Starting from theoretical foundations, the overall design process is systematically discussed, with simulations conducted for each module. Specifically, an improved control logic based on the Sanyal switch is proposed for the ADC in this study. Simulations performed using 65nm technology demonstrate an ENOB of 10.31 bits, SNDR of 59.81 dB, SFDR of 72.05 dB, and a power consumption of 31.71 μW. The Figure of Merit (FOM) under the supply voltage is calculated at 201 fJ/Conv.-step, with a sampling rate of 1/13 MS/s. This highlights the area efficiency of the proposed ADC. Keywords: Compute-in-memory, SAR/SS ADC, area efficiency, improved control logic
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spelling ntu-10356/1734312024-02-09T15:41:31Z Exploration and design of SAR/SS ADC for in-memory computation Liu, Fengge Kim Tae Hyoung School of Electrical and Electronic Engineering THKIM@ntu.edu.sg Engineering Compute-in-memory (CIM), as a solution to the von Neumann bottleneck, has gained widespread attention in recent years. In CIM operations, ADCs are typically required to convert analog voltages into digital codes. However, current CIM ADCs often demand substantial silicon area and operational power consumption. Therefore, the ADCs employed in CIM structures often impose high requirements on power consumption and silicon area. This paper presents the realization of a SAR/SS ADC with area efficiency. Starting from theoretical foundations, the overall design process is systematically discussed, with simulations conducted for each module. Specifically, an improved control logic based on the Sanyal switch is proposed for the ADC in this study. Simulations performed using 65nm technology demonstrate an ENOB of 10.31 bits, SNDR of 59.81 dB, SFDR of 72.05 dB, and a power consumption of 31.71 μW. The Figure of Merit (FOM) under the supply voltage is calculated at 201 fJ/Conv.-step, with a sampling rate of 1/13 MS/s. This highlights the area efficiency of the proposed ADC. Keywords: Compute-in-memory, SAR/SS ADC, area efficiency, improved control logic Master's degree 2024-02-05T02:08:00Z 2024-02-05T02:08:00Z 2024 Thesis-Master by Coursework Liu, F. (2024). Exploration and design of SAR/SS ADC for in-memory computation. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173431 https://hdl.handle.net/10356/173431 en application/pdf Nanyang Technological University
spellingShingle Engineering
Liu, Fengge
Exploration and design of SAR/SS ADC for in-memory computation
title Exploration and design of SAR/SS ADC for in-memory computation
title_full Exploration and design of SAR/SS ADC for in-memory computation
title_fullStr Exploration and design of SAR/SS ADC for in-memory computation
title_full_unstemmed Exploration and design of SAR/SS ADC for in-memory computation
title_short Exploration and design of SAR/SS ADC for in-memory computation
title_sort exploration and design of sar ss adc for in memory computation
topic Engineering
url https://hdl.handle.net/10356/173431
work_keys_str_mv AT liufengge explorationanddesignofsarssadcforinmemorycomputation