DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference

Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks 0001, Carole-Jean Wu. DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. In 47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020, Valencia, Spain, May 30 - June 3, 2020. pages 982-995, IEEE, 2020. [doi]

@inproceedings{GuptaHSWRWL0W20,
  title = {DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference},
  author = {Udit Gupta and Samuel Hsia and Vikram Saraph and Xiaodong Wang and Brandon Reagen and Gu-Yeon Wei and Hsien-Hsin S. Lee and David Brooks 0001 and Carole-Jean Wu},
  year = {2020},
  doi = {10.1109/ISCA45697.2020.00084},
  url = {https://doi.org/10.1109/ISCA45697.2020.00084},
  researchr = {https://researchr.org/publication/GuptaHSWRWL0W20},
  cites = {0},
  citedby = {0},
  pages = {982-995},
  booktitle = {47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020, Valencia, Spain, May 30 - June 3, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-4661-4},
}