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By intelligently managing resource contention, ADS-Tile slashes processing waste to below 1.2%, revolutionizing how DNNs are scheduled in autonomous driving systems.
Unlocking the potential of compute-in-memory accelerators for LLMs requires carefully navigating a complex dataflow design space, and AccelCIM provides the first systematic framework to do so.
