Deep learning recommendation systems serve personalized content under di...
Machine learning (ML) research has generally focused on models, while th...
We propose RecShard, a fine-grained embedding table (EMB) partitioning a...
Technology companies have been leading the way to a renewable energy
tra...
This paper explores the environmental impact of the super-linear growth
...
The memory capacity of embedding tables in deep learning recommendation
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The use of GPUs has proliferated for machine learning workflows and is n...