research
∙
08/03/2023
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
Progress in artificial intelligence and machine learning over the past d...
share
research
∙
05/08/2021
PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM
Deep Neural Networks (DNNs) have transformed the field of machine learni...
research
∙
03/05/2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks
Modern deep networks have millions to billions of parameters, which lead...
research
∙
02/25/2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
Resistive crossbars have attracted significant interest in the design of...
research
∙
02/23/2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks
The enormous inference cost of deep neural networks can be scaled down b...
research
∙
09/29/2016
