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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.DC2026
NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL
Amos Goldman, Nimrod Boker, Maayan Sheraizin +15
Mixture-of-Experts (MoE) architectures have become essential for scaling large language models, driving the development of specialized device-initiated communication libraries such…