Session

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Research Manuscript: From Conception to Deployment, a Journey in CPS and IoT Design

Session Chair

DescriptionCyber-physical systems and IoT devices are pervading every aspect of our lives, including critical infrastructures. Because of this, these systems need to be built considering several functional and non-functional requirements (e.g., low power, safety, etc.), making CPS/IoT design and operations extremely challenging. This session covers several aspects of the design, deployment, and management of CPS and IoT, including synthesis, acceleration, scheduling, and thermal management.

Event TypeResearch Manuscript

TimeTuesday, June 253:30pm - 5:30pm PDT

Location3008, 3rd Floor

Topics

Keywords

Presentations

3:30pm - 3:45pm PDT	DeepRIoT: Continuous Integration and Deployment of Robotic-IoT Applications Authors Meixun Qu Jie He Zlatan Tucakovic Ezio Bartocci Dejan Nickovic Haris Isakovic Radu Grosu
3:45pm - 4:00pm PDT	SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning Authors Mingxuan Li Qinzhe Zhi Yanchi Dong Le Ye Tianyu Jia
4:00pm - 4:15pm PDT	MTL-Split: Multi-Task Learning for Edge Devices using Split Computing Authors Luigi Capogrosso Enrico Fraccaroli Samarjit Chakraborty Franco Fummi Marco Cristani
4:15pm - 4:30pm PDT	VVIP: Versatile Vertical Indexing Processor for Edge Computing Authors Hyungjoon Bae Da Won Kim Wanyeong Jung
4:30pm - 4:45pm PDT	LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices Authors Yifan Gong Yushu Wu PU ZHAO zheng zhan Liangkai Liu Chao Wu Xulong Tang Yanzhi Wang
4:45pm - 5:00pm PDT	Enabling Low Latency for ECQF based Flow Aggregation Scheduling in Time-Sensitive Networking Authors Ping Liu Tong Zhang Xiaoqin Feng Yanying Ma Fengyuan Ren
5:00pm - 5:15pm PDT	Safe Controller Synthesis for Nonlinear Systems via Reinforcement Learning and PAC Approximation Authors Xia Zeng Banglong Liu Zhenbing Zeng Zhiming Liu Zhengfeng Yang
5:15pm - 5:30pm PDT	SAS - A Framework for Symmetry-based Approximate Synthesis Authors Niklas Jungnitz Oliver Keszocze

DAC 2024