On-Line Fault Protection for ReRAM-Based Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3160345
Abstract: The emerging Resistive RAM (ReRAM) technology significantly boosts the performance and the energy efficiency of the deep learning accelerators (DLAs) via the Computing-in-Memory (CiM) architecture. However, ReRAM-based DLA also suffers a high occurrence rate of… read more here.
Keywords: fault detection; reram based; fault; line fault ... See more keywords
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3083684
Abstract: Resistive random-access memory (ReRAM)-based architectures can be used to accelerate convolutional neural network (CNN) training. However, existing architectures either do not support normalization at all or they support only a limited version of it. Moreover,… read more here.
Keywords: deep cnns; methodology; reram based; normalization layers ... See more keywords
A Framework for Accelerating Transformer-based Language Model on ReRAM-based Architecture
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3121264
Abstract: Transformer-based language models have become the de-facto standard model for various NLP applications given the superior algorithmic performances. Processing a transformer-based language model on a conventional accelerator induces the memory wall problem, and the ReRAM-based… read more here.
Keywords: reram; language model; reram based; transformer based ... See more keywords
An Energy-Efficient Inference Engine for a Configurable ReRAM-Based Neural Network Accelerator
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3184464
Abstract: Resistive random-access memory (ReRAM) offers a potential solution to accelerate the inference of deep neural networks by performing processing-in-memory. However, the peripheral circuits of ReRAM crossbars used to perform arithmetic operations consume significant amounts of… read more here.
Keywords: reram based; reram; energy; accelerator ... See more keywords
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197342
Abstract: Resistive random-access memory (ReRAM)-based manycore architectures enable acceleration of graph neural network (GNN) inference and training. GNNs exhibit characteristics of both DNNs and graph analytics. Hence, GNN training/inferencing on ReRAM-based manycore architectures give rise to… read more here.
Keywords: neural network; reram based; based manycore; graph neural ... See more keywords
A 64 Kb Reconfigurable Full-Precision Digital ReRAM-Based Compute-In-Memory for Artificial Intelligence Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3168053
Abstract: This work presents a fully-digital 64 Kb non-volatile ReRAM based compute-in-memory (CIM) macro for the modern artificial intelligence (AI) edge devices, using 65 nm technology. This digital CIM architecture effectively removes the analog-design issues, related… read more here.
Keywords: reram based; inline formula; precision; tex math ... See more keywords
Vulnerabilities and Reliability of ReRAM Based PUFs and Memory Logic
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2019.2910793
Abstract: Resistive Random-Access Memory (ReRAM) devices have caught significant research attention as scalable nonvolatile memory technology for high-density data storage in 3-D crossbar architectures. ReRAM devices can switch with low programming voltages ( read more here.
Keywords: vulnerabilities reliability; memory; reram based; reram devices ... See more keywords
Online Fault Detection in ReRAM-Based Computing Systems for Inferencing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2021.3139530
Abstract: A resistive switching random access memory (ReRAM)-based computing system (RCS) provides an energy-efficient hardware implementation of vector–matrix multiplication for machine-learning hardware. However, it is susceptible to faults due to the immature resistive switching random access… read more here.
Keywords: reram; reram based; fault detection; based computing ... See more keywords