Deep Learning Performance Characterization on GPUs for Various Quantization Frameworks

Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep learning performance, such as training time, latency,...

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Hlavní autoři: Muhammad Ali Shafique, Arslan Munir, Joonho Kong
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-10-01
Edice:AI
Témata:
On-line přístup:https://www.mdpi.com/2673-2688/4/4/47