Traffic management in emerging megacities requires real-time analytics over thousands of CCTV video streams under latency, bandwidth, compute and energy constraints. We present TrafficFab, an autonomic edge--cloud testbed for AI-driven traffic management, designed to validate a representative slice of a megacity deploy...
Mayank Arya, Pranjal Naman, Priyanshu Pansari et al.· 0 citations
Edge accelerators such as Nvidia Jetsons are an integral part of the computing continuum, and are used for DNN inference and training. Jetson edge devices have 2000+ CUDA cores within a 70W power envelope and offer 1000s of power modes to customize CPU, GPU and memory frequencies, enabling diverse power–performance tra...
P. K, Kunal Kumar Sahoo, Amartya Ranjan Saikia et al.· Proceedings of the Internati...· 0 citations
This work develops time and energy roofline characterizations for Orin AGX across power modes, coupled with analytical models of compute and memory for DNN inference, and extends these models to DNN training, and demonstrates power-mode tuning that achieves up to \(15\%\) lower energy with small inference-time impact f...
P. K, Kunal Kumar Sahoo, Amartya Ranjan Saikia et al.· Proceedings of the Internati...· 0 citations
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