2022
Software-hardware co-design for fast and scalable training of deep learning recommendation models.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
CoRR, 2021

2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019
MLPerf Training Benchmark.
CoRR, 2019

The Architectural Implications of Facebook's DNN-based Personalized Recommendation.
CoRR, 2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems.
CoRR, 2019

Machine Learning at Facebook: Understanding Inference at the Edge.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.
CoRR, 2018

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2013
Storage and performance optimization of long tail key access in a social network.
Proceedings of the 3rd International Workshop on Cloud Data and Platforms, 2013