Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training

Author:

Guo Anqi12ORCID,Hao Yuchen3ORCID,Wu Chunshu1ORCID,Haghi Pouya1ORCID,Pan Zhenyu2ORCID,Si Min4ORCID,Tao Dingwen5ORCID,Li Ang6ORCID,Herbordt Martin7ORCID,Geng Tong8ORCID

Affiliation:

1. Boston University, Boston, USA

2. University of Rochester, Rochester, USA

3. Meta Platforms, San Francisco, USA

4. Meta Platforms, San Francisco, United States of America

5. Indiana University, Bloomington, United States of America

6. Pacific Northwest National Laboratory, Richland, United States of America

7. Boston University, Boston, United States of America

8. University of Rochester, Rochester, United States of America

Publisher

ACM

Reference44 articles.

1. The Future of FPGA Acceleration in Datacenters and the Cloud

2. Broadcom. 2019. Stingray PS250 2x50-Gb High-Performance Data Center Smart-NIC. https://docs.broadcom.com/doc/PS250-PB Broadcom. 2019. Stingray PS250 2x50-Gb High-Performance Data Center Smart-NIC. https://docs.broadcom.com/doc/PS250-PB

3. A cloud-scale acceleration architecture

4. Deep Neural Networks for YouTube Recommendations

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