Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations

AGD: Analytic Gradient Descent for Discrete Optimization in EDA and its Use to Gate Sizing

Reducing Errors and Powers in LPDDR for DNN Inference: A Compression and IECC-Based Approach

HYDRA: A Hybrid Resistance Drift Resilient Architecture for Phase Change Memory-Based Neural Network Accelerators

CRAFT: Criticality-Aware Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks

A convertible neural processor supporting adaptive quantization for real-time neural networks

EUNNet: Efficient UN-normalized Convolution layer for stable training of Deep Residual Networks without Batch Normalization layer

Checkerboard Dropout: A structured dropout with checkerboard pattern for Convolutional Neural Networks

CEnT: An Efficient Architecture to Eliminate Intra-array Write Disturbance in PCM

ADAPT: A Write Disturbance Aware Programming Technique for Scaled Phase Change Memory