Results 51 to 60 of about 12,245 (196)

An On-line BIST RAM Architecture with Self Repair Capabilities [PDF]

, 2002
The emerging field of self-repair computing is expected to have a major impact on deployable systems for space missions and defense applications, where high reliability, availability, and serviceability are needed.
Benso, Alfredo, Chiusano, Silvia Anna, Di Natale, Giorgio, Prinetto, Paolo Ernesto   +3 more
core   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Monolithic 3D 6T-SRAM Based on Newly Designed Gate and Source/Drain Bottom Contact Schemes

IEEE Access, 2021
For the first time, we suggested that the monolithic 3D (M3D) static random access memory (SRAM) with gate and S/D bottom contact (GBC and SDBC) schemes (SRAMSDGBC) and analyzed they could significantly improve the power, performance, and area (PPA ...
Junjong Lee, Jun-Sik Yoon, Jinsu Jeong, Seunghwan Lee, Sanguk Lee, Rock-Hyun Baek   +5 more
doaj   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA

, 2018
Efficient low complexity error correcting code(ECC) is considered as an effective technique for mitigation of multi-bit upset (MBU) in the configuration memory(CM)of static random access memory (SRAM) based Field Programmable Gate Array (FPGA) devices ...
Chakrabarti, Amlan, Chattopadhyay, Anupam, Mandal, Swagata, Ming, Wong Ming, Sarkar, Sreetama   +4 more
core   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Impact of Displacement Defect Owing to Cosmic Rays on Three-Nanometer-Node Nanosheet FET 6T Static Random Access Memory

IEEE Access, 2023
In this work, the effect of displacement defect (DD) owing to cosmic rays on six-transistor (6T) static random access memory (SRAM) with a 3 nm node nanosheet field-effect transistor (NSFET) is investigated using technology computer-aided design (TCAD ...
Jonghyeon Ha, Minji Bang, Gyeongyeop Lee, Minki Suh, Chong-Eun Kim, Jungsik Kim   +5 more
doaj   +1 more source

The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems

, 2018
Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
core   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Field‐free programmable bipolar magnetic heterostructures for neuromorphic computing

InfoMat, EarlyView.
Neuromorphic computing mimics the brain's efficiency, yet typical memristors lack biological synapses' dual signal control. We introduce a magnetic memristor enabling bidirectional, multi‐state modulation without external fields, validated in image feature extraction and neural clustering.
Yaping He, Gaofei Wang, Jinfeng Zhai, Wentao Huang, Zhenyu Zhao, Zheng Zhang, Jiabin Shen, Pan He, Zengguang Cheng, Peng Zhou   +9 more
wiley   +1 more source