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Found 3 papers, 1 papers with code
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models
Recommendation systems are of crucial importance for a variety of modern apps and web services, such as news feeds, social networks, e-commerce, search, etc.
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference
In this talk, we introduce Merlin HugeCTR.
Distributed Training of Deep Learning Models: A Taxonomic Perspective
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the distributed resources of a cluster.
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