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01/08/2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Sequence-based deep learning recommendation models (DLRMs) are an emergi...
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01/25/2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
We propose RecShard, a fine-grained embedding table (EMB) partitioning a...
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06/05/2017
To Index or Not to Index: Optimizing Maximum Inner Product Search
Making top-K predictions for state-of-the-art Matrix Factorization model...
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06/05/2017