Bill Jia

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications pdf

Martin D. Schatz, Sungjoo Yoo, James Law, 2018, ArXiv.

MLPerf Training Benchmark pdf

David Patterson, Carole-Jean Wu, Gu-Yeon Wei, 2019, MLSys.

Synthetic biology: engineering order in organisms across scales and species.

Bill Jia, Arin Wongprommoon, 2018, BioTechniques.

Storage and performance optimization of long tail key access in a social network

Bill Jia, Richard Liu, Jason Taylor, 2013, CloudDP '13.

Machine Learning at Facebook: Understanding Inference at the Edge

Carole-Jean Wu, Kevin Chen, David Brooks, 2019, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

Carole-Jean Wu, David Brooks, Liang Xiong, 2019, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA).

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Martin D. Schatz, Carole-Jean Wu, Hsien-Hsin S. Lee, 2019, 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

David M. Brooks, Kevin Lee, Xiaodong Wang, 2018, 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA).

Deep Learning Recommendation Model for Personalization and Recommendation Systems pdf

Yinghai Lu, Carole-Jean Wu, Xiaodong Wang, 2019, ArXiv.

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models pdf

Yuchen Hao, Jianyu Huang, Kiran Kumar Matam, 2021, ArXiv.

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Jianyu Huang, Kiran Kumar Matam, Ching-Hsiang Chu, 2021 .