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Found 5 papers, 0 papers with code
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators
Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware.
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
With the rapid evolution of the Internet of Things, many real-world applications utilize heterogeneously connected sensors to capture time-series information.
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems
Due to the high performance and safety requirements of self-driving applications, the complexity of modern autonomous driving systems (ADS) has been growing, instigating the need for more sophisticated hardware which could add to the energy footprint of the ADS platform.
Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks
Providing health monitoring devices with machine intelligence is important for enabling automatic mobile healthcare applications.
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor
The recent advances in wearable devices have allowed the monitoring of several physiological signals related to stress.
