SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs
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DOI: 10.1109/lca.2022.3227560
Abstract: Embedding layers, which are widely used in various deep learning (DL) applications, are very large in size and are increasing. We propose scalable embedding memory system (SEMS) to deal with the inference of DL applications… read more here.
Keywords: system; mml mml; mml; embedding memory ... See more keywords