A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.
Edgellm: A highly efficient cpu-fpga heterogeneous edge accelerator for large language models,
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On the Sustainability of AI Inferences in the Edge
A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.