Search Results for author: Bilge Acun

Found 4 papers, 1 papers with code

RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation

no code implementations25 Jan 2022 Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu

EMBs exhibit distinct memory characteristics, providing performance optimization opportunities for intelligent EMB partitioning and placement across a tiered memory hierarchy.

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

1 code implementation25 Jan 2021 Chunxing Yin, Bilge Acun, Xing Liu, Carole-Jean Wu

TT-Rec achieves 117 times and 112 times model size compression, for Kaggle and Terabyte, respectively.

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

no code implementations11 Nov 2020 Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim Hazelwood

The use of GPUs has proliferated for machine learning workflows and is now considered mainstream for many deep learning models.

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