DRCTL: A Disorder-Resistant Computation Translation Layer Enhancing the Lifetime and Performance of Memristive CIM Architecture
The memristive Computing-in-Memory (CIM) sys-tem can efficiently accelerate matrix-vector
multiplication (MVM) operations through in-situ computing. The data layout has a significant …
multiplication (MVM) operations through in-situ computing. The data layout has a significant …
A Survey of Computing-in-Memory Processor: From Circuit to Application
The computing-in-memory (CIM) technique is emerging with the evolvement of big data and
artificial intelligence (AI) application. The manuscript presents a systematic review of existing …
artificial intelligence (AI) application. The manuscript presents a systematic review of existing …
ODLPIM: A Write-Optimized and Long-Lifetime ReRAM-Based Accelerator for Online Deep Learning
ReRAM-based Processing-In-Memory (PIM) architectures have demonstrated high energy
efficiency and performance in deep neural network (DNN) acceleration. Most of the existing …
efficiency and performance in deep neural network (DNN) acceleration. Most of the existing …
Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT
NL Prabhu, N Raghavan - IEEE Access, 2022 - ieeexplore.ieee.org
Training a CNN involves computationally intense optimization algorithms to fit the network
using a training dataset, to update the network weight for inferencing and then pattern …
using a training dataset, to update the network weight for inferencing and then pattern …