Nonlinear Weight Quantification for Mitigating Stress Induced Disturb Effect on Multilevel RRAM-Based Neural Network Accelerator
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of the Electron Devices Society"
DOI: 10.1109/jeds.2021.3110877
Abstract: The RRAM-based array is one of the most promising core functional primitives to accelerate the inference process of neural networks. However, the stress-induced disturbance can cause a significant accuracy drop during inference process where input… read more here.
Keywords: nonlinear weight; rram based; quantification; stress induced ... See more keywords
An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2018.2889670
Abstract: Neuromorphic chip with RRAM devices has been demonstrated as a promising computing platform for neural network-based applications. By directly mapping the weight matrices of neural networks onto RRAM-based crossbar arrays, high energy, and area efficiency… read more here.
Keywords: emulator; chip rram; chip; neuromorphic chip ... See more keywords
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2025.3545257
Abstract: The continuous shift of computational bottlenecks to the memory access and data transfer, especially for AI applications, poses the urgent needs of re-engineering the computer architecture fundamentals. Many edge computing applications, like wearable and implantable… read more here.
Keywords: template matching; rram based; rram; analogue template ... See more keywords
A Hierarchical Fault-Tolerant and Cost Effective Framework for RRAM Based Neural Computing Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3144193
Abstract: An RRAM-based computing system (RCS) is widely used in neuromorphic computing systems due to its fast computation and low cost. The immature fabrication processes cause high rate of hard faults and limited endurance of RRAMs… read more here.
Keywords: rram based; framework; fault tolerant; cost ... See more keywords
2T2R RRAM-Based In-Memory Hyperdimensional Computing Encoder for Spatio-Temporal Signal Processing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3352120
Abstract: Hyperdimensional computing (HDC) is a brain-inspired computational framework that exploits hypervectors as an alternative to computing with numbers. In-memory computing implementation of HDC (IM-HDC) provides a robust and energy-efficient approach to process spatio-temporal (ST) signals… read more here.
Keywords: hyperdimensional computing; memory; 2t2r rram; rram based ... See more keywords
IDWA: A Importance-Driven Weight Allocation Algorithm for Low Write–Verify Ratio RRAM-Based In-Memory Computing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3578388
Abstract: Resistive random access memory (RRAM)-based in-memory computing (IMC) architectures are currently receiving widespread attention. Since this computing approach relies on the analog characteristics of the devices, the write variation of RRAM can affect the computational… read more here.
Keywords: write verify; memory; memory computing; rram based ... See more keywords
Design of an RRAM-Based Joint Model for Embedded Cellular Smartphone Self-Charging Device
Sign Up to like & getrecommendations! Published in 2025 at "Micromachines"
DOI: 10.3390/mi16101101
Abstract: With the development of embedded electronic devices, energy consumption has become a significant design issue in modern systems-on-a-chip. Conventional SRAMs cannot maintain data after powering turned off, limiting their use in applications such as battery-powered… read more here.
Keywords: device; rram based; self charging; model ... See more keywords