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04/19/2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories
Recommendation models are very large, requiring terabytes (TB) of memory...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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10/21/2020
Mixed-Precision Embedding Using a Cache
In recommendation systems, practitioners observed that increase in the n...
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11/19/2019
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
We propose a new building block, IdleBlock, which naturally prunes conne...
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11/24/2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable impro...
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11/24/2018
On Periodic Functions as Regularizers for Quantization of Neural Networks
Deep learning models have been successfully used in computer vision and ...
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06/08/2017
