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Ferroelectric field effect transistors (FeFETs) are being actively investigated with the potential for in-memory computing (IMC) over other non-volatile memories (NVMs). Content Addressable Memories (CAMs) are a form of IMC that performs…

Emerging Technologies · Computer Science 2020-07-20 Xunzhao Yin , Chao Li , Qingrong Huang , Li Zhang , Michael Niemier , Xiaobo Sharon Hu , Cheng Zhuo , Kai Ni

Reconfigurable devices have garnered significant attention for alleviating the scaling requirements of conventional CMOS technology, as they require fewer components to construct circuits with similar function. Prior works required…

Memory accounts for a considerable portion of the total power budget and area of digital systems. Furthermore, it is typically the performance bottleneck of the processing units. Therefore, it is critical to optimize the memory with respect…

Hardware Architecture · Computer Science 2019-02-04 Ghasem Pasandi , Raghav Mehta , Massoud Pedram , Shahin Nazarian

We propose a field-free switching SOT-MRAM concept that is integration friendly and allows for separate optimization of the field component and SOT/MTJ stack properties. We demonstrate it on a 300 mm wafer, using CMOS-compatible processes,…

With decreasing device dimensions, the performance of carbon nanotube field-effect transistors (CNFETs) is limited by high Off currents except at low drain voltages. We show that an asymmetric design improves the performance, reducing Off…

Condensed Matter · Physics 2009-11-10 S. Heinze , J. Tersoff , Ph. Avouris

In this paper, we propose a novel memory-centric scheme based on CMOS SRAM for acceleration of data intensive applications. Our proposal aims at dynamically increasing the on-chip memory storage capacity of SRAM arrays on-demand. The…

Hardware Architecture · Computer Science 2021-09-08 Haripriya Sheshadri , Shwetha Vijayakumar , Ajey Jacob , Akhilesh Jaiswal

Stochastic computing (SC) offers significant reductions in hardware complexity for traditional convolutional neural networks(CNNs). However, despite its advantages, stochastic computing neural networks (SCNNs) often suffer from high…

Hardware Architecture · Computer Science 2026-01-29 Sheng Lu , Qianhou Qu , Sungyong Jung , Qilian Liang , Chenyun Pan

Pr1-xCaxMnO3 (PCMO) based resistance random access memory (RRAM) is attractive in large scale memory and neuromorphic applications as it is non-filamentary, area scalable and has multiple resistance states along with excellent endurance and…

Applied Physics · Physics 2020-04-15 Sandip Lashkare , Udayan Ganguly

Non-volatile main memory (NVRAM) technologies provide an attractive set of features for large-scale graph analytics, including byte-addressability, low idle power, and improved memory-density. NVRAM systems today have an order of magnitude…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-01 Laxman Dhulipala , Charlie McGuffey , Hongbo Kang , Yan Gu , Guy E. Blelloch , Phillip B. Gibbons , Julian Shun

This paper describes a multi-functional deep in-memory processor for inference applications. Deep in-memory processing is achieved by embedding pitch-matched low-SNR analog processing into a standard 6T 16KB SRAM array in 65 nm CMOS. Four…

Hardware Architecture · Computer Science 2016-10-25 Mingu Kang , Sujan Gonugondla , Ameya Patil , Naresh Shanbhag

Using accurate dissipative DFT-NEGF atomistic-simulation techniques within the Wannier-Function formalism, we give a fresh look at the possibility of sub-10 nm scaling for high-performance CMOS applications. We show that a combination of…

Applied Physics · Physics 2021-02-05 Aryan Afzalian

Crossbar memory arrays have been touted as the workhorse of in-memory computing (IMC)-based acceleration of Deep Neural Networks (DNNs), but the associated hardware non-idealities limit their efficacy. To address this, cross-layer design…

Emerging Technologies · Computer Science 2026-04-07 Jeffry Victor , Chunguang Wang , Sumeet K. Gupta

Graphene-based devices are planned to augment the functionality of Si and III-V based technology in radio-frequency (RF) electronics. The expectations in designing graphene {field-effect} transistors (GFETs) with enhanced RF performance…

Applied Physics · Physics 2019-11-18 A. Toral-Lopez , E. G. Marin , F. Pasadas , J. M. Gonzalez-Medina , F. G. Ruiz , D. Jiménez , A. Godoy

Carbon Nanotube Field Effect Transistor (CNFET) is a promising new technology that overcomes several limitations of traditional silicon integrated circuit technology. In recent years, the potential of CNFET for analog circuit applications…

Emerging Technologies · Computer Science 2012-05-10 Ishit Makwana , Vitrag Sheth

State-of-the-art in-memory computation has recently emerged as the most promising solution to overcome design challenges related to data movement inside current computing systems. One of the approaches to performing in-memory computation is…

Hardware Architecture · Computer Science 2022-09-13 Saeed Seyedfaraji , Baset Mesgari , Semeen Rehman

In this paper, we demonstrate by simulation the general usability of an electrostatically doped and electrically reconfigurable planar field-effect transistor (FET) structure. The device concept is partly based on our already published and…

Materials Science · Physics 2014-05-30 Tillmann Krauss , Frank Wessely , Udo Schwalke

Non-volatile memory (NVM) technologies such as spin-transfer torque magnetic random access memory (STT-MRAM) and spin-orbit torque magnetic random access memory (SOT-MRAM) have significant advantages compared to conventional SRAM due to…

Hardware Architecture · Computer Science 2022-05-23 Ahmet Inci , Mehmet Meric Isgenc , Diana Marculescu

Increase in image resolution require the ability of image sensors to pack an increased number of circuit components in a given area. On the the other hand a high speed processing of signals from the sensors require the ability of pixel to…

Emerging Technologies · Computer Science 2016-10-18 Kamilya Smagulova , Aigerim Tankimanova , Alex Pappachen James

Serial connection of multiple memory cells using perpendicular magnetic tunnel junctions (pMTJ) is proposed as a way to increase magnetic random access memory (MRAM) storage density. Multi-bit storage element is designed using pMTJs…

Applied Physics · Physics 2019-07-24 Piotr Rzeszut , Witold Skowroński , Sławomir Ziętek , Jerzy Wrona , Tomasz Stobiecki

In this paper we propose a modified structure of TFET incorporating ferroelectric oxide as the complementary gate dielectric operating in negative capacitance zone, called the Negative Capacitance Tunnel FET (NCTFET). The proposed device…

General Physics · Physics 2014-05-21 Nadim Chowdhury , S. M. Farhaduzzaman Azad , Quazi D. M. Khosru