Priority-Aware Scheduling of Multi-Model, Multi-Precision DNN Inference on Multi-Cores RISC-V

Efficient deployment of Deep Learning (DL) models on RISC-V-based multi-core platforms remains a significant challenge, especially when multiple models with heterogeneous structures and precision requirements must run concurrently. Existing frameworks offer optimized execution for single-model inference but lack support for multi-model scheduling, as well as priority-based resource allocation. In…