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cs.PF2026
Accelerating Data Preprocessing for Efficient Vision Model Inference on Jetson Edge Device
Tian Chen, Nawras Alnaasan, Jinghan Yao +4
Data preprocessing is a crucial part of deep learning workflows on edge devices. However, decoding data saved in JPEG format is very compute-intensive and occupies a major portion…
cs.PF2023★ 2 cited
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version
Hyunho Ahn, Tian Chen, Nawras Alnaasan +5
Quantization is a popular technique used in Deep Neural Networks (DNN) inference to reduce the size of models and improve the overall numerical performance by exploiting native har…