AIBullisharXiv – CS AI · Apr 146/10
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AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators
Researchers introduce AEG, a bare-metal runtime framework that enables high-performance machine learning inference on heterogeneous AI accelerators without OS overhead. The system achieves 9.2× higher compute efficiency and uses 11× fewer hardware tiles than Linux-based alternatives, demonstrating significant potential for edge AI deployment optimization.