Characterizing and Understanding End-to-End Multi-Modal Neural Networks on GPUs
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DOI: 10.1109/lca.2022.3215718
Abstract: Multi-modal neural networks have become increasingly pervasive in many machine learning application domains due to their superior accuracy by fusing various modalities. However, they present many unique characteristics such as multi-stage execution, frequent synchronization and… read more here.
Keywords: neural networks; modal neural; multi modal; understanding end ... See more keywords