Energy-efficient Computation-In-Memory Architecture using Emerging Technologies

Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cedric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Deep Learning (DL) has recently led to remark-able advancements, however, it faces severe computation related challenges. Existing Von-Neumann-based solutions are dealing with issues such as memory bandwidth limitations and energy inefficiency. Computation-In-Memory (CIM) has the potential to address this problem by integrating processing elements directly into the memory architecture, reducing data movement and enhancing the overall efficiency of the system. In this work, we propose CIM architecture using three distinct emerging technologies. Firstly, a CIM architecture utilizing Ferroelectric Field-Effect Transistors (FeFET) is shown and the resulting errors from the analog compute scheme are injected into the emerging algorithm of Hyperdimensional Computing. Subsequently, we explore Vertical Nanowire Field-Effect Transistors (VNWFETs) based CIM within a 3D computing architecture, demonstrating improved energy efficiency and reconfigurability for CIM. Additionally, we improve the accuracy of the Resistive Random Access Memories (RRAM) based CIM architecture using two mapping-based solutions. These three technologies exhibit non-volatile characteristics, and when integrated into the CIM architecture, they yield significant advantages, including enhanced energy efficiency, reliability, and accuracy in computing processes.

Original languageEnglish
Title of host publicationProceedings of the 2023 International Conference on Microelectronics, ICM 2023
PublisherIEEE
Pages325-334
Number of pages10
ISBN (Electronic)979-8-3503-8082-8
ISBN (Print)979-8-3503-8083-5
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Microelectronics, ICM 2023 - Abu Dhabi, United Arab Emirates
Duration: 17 Dec 202320 Dec 2023

Conference

Conference2023 International Conference on Microelectronics, ICM 2023
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period17/12/2320/12/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Fingerprint

Dive into the research topics of 'Energy-efficient Computation-In-Memory Architecture using Emerging Technologies'. Together they form a unique fingerprint.

Cite this