Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks
Non-volatile memory (NVM)-based Computation-in-memory has demonstrated a significant
advantage in high-efficiency neural networks. However, the requirement of analog-to-digital …
advantage in high-efficiency neural networks. However, the requirement of analog-to-digital …
Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning
With the prosperous development of Deep Neural Network (DNNs), numerous Process-In-
Memory (PIM) designs have emerged to accelerate DNN models with exceptional …
Memory (PIM) designs have emerged to accelerate DNN models with exceptional …
Advancing Efficient Deep Learning: An Exploration of Model Compression From Classification to Generative Models
Y Sui - 2024 - search.proquest.com
Abstract Deep Neural Networks (DNNs) have gained prominence across a range of
applications, consisting of computer vision, speaker recognition, and natural language …
applications, consisting of computer vision, speaker recognition, and natural language …