Search Results for author:
Found 6 papers, 1 papers with code
Dependability in Embedded Systems: A Survey of Fault Tolerance Methods and Software-Based Mitigation Techniques
Fault tolerance is a critical aspect of modern computing systems, ensuring correct functionality in the presence of faults.
HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing
Introducing HyperSense, our co-designed hardware and software system efficiently controls Analog-to-Digital Converter (ADC) modules' data generation rate based on object presence predictions in sensor data.
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack
With deep learning deployed in many security-sensitive areas, machine learning security is becoming progressively important.
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
This approach minimizes inter-cloudlet communication thereby alleviating the communication overhead of the decentralized approach while promoting scalability due to cloudlet-level decentralization.
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors
Digital technologies have made it possible to deploy visual sensor nodes capable of detecting motion events in the coverage area cost-effectively.
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 accelerator is implemented using Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) computational sub-arrays.
