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A rapid approach to urban traffic noise mapping with a generative adversarial network
Furthermore, the trained model is integrated into Grasshopper as a tool, facilitating the rapid generation of traffic noise maps.
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
However, existing GPU and transformer-based accelerators cannot efficiently process compressed LLMs, due to the following unresolved challenges: low computational efficiency, underutilized memory bandwidth, and large compilation overheads.
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