research
∙
03/24/2023
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge
In this paper, we propose IMA-GNN as an In-Memory Accelerator for centra...
share
research
∙
02/28/2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Accurate and timely prediction of transportation demand and supply is es...
research
∙
10/13/2022
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks
In this work, a high-speed and energy-efficient comparator-based Near-Se...
research
∙
02/18/2022
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing
This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a...
research
∙
08/14/2020
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly
Spurred by widening gap between data processing speed and data communica...
research
∙
04/16/2019
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience
Herein, a bit-wise Convolutional Neural Network (CNN) in-memory accelera...
research
∙
04/11/2019