Optimizing CPU Performance for Recommendation Systems At-Scale

Author:

Jain Rishabh1ORCID,Cheng Scott1ORCID,Kalagi Vishwas1ORCID,Sanghavi Vrushabh2ORCID,Kaul Samvit3ORCID,Arunachalam Meena2ORCID,Maeng Kiwan1ORCID,Jog Adwait45ORCID,Sivasubramaniam Anand1ORCID,Kandemir Mahmut Taylan1ORCID,Das Chita R.1ORCID

Affiliation:

1. Pennsylvania State University, University Park, PA, USA

2. Intel, Portland, USA

3. Intel, Folsom, USA

4. William & Mary, Williamsburg, VA, USA

5. University of Virginia, Charlottesville, VA, USA

Funder

National Science Foundation

NSF (National Science Foundation) Chameleon Cloud

Defense Advanced Research Projects Agency

Publisher

ACM

Reference76 articles.

1. Bilge Acun , Matthew Murphy , Xiaodong Wang , Jade Nie , Carole-Jean Wu , and Kim Hazelwood . 2021 . Understanding training efficiency of deep learning recommendation models at scale . In 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA). IEEE, 802--814 . Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, and Kim Hazelwood. 2021. Understanding training efficiency of deep learning recommendation models at scale. In 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA). IEEE, 802--814.

2. Software prefetching for indirect memory accesses

3. AMD. 2021. AMD EPYC 7763. "https://www.amd.com/en/products/cpu/amdepyc-7763". AMD. 2021. AMD EPYC 7763. "https://www.amd.com/en/products/cpu/amdepyc-7763".

4. AMD. 2022. AMD Zen3 3D V-Cache. "https://www.amd.com/en/pressreleases/2022-03-21-3rd-gen-amd-epyc-processors-amd-3d-v-cachetechnology-deliver-outstanding". AMD. 2022. AMD Zen3 3D V-Cache. "https://www.amd.com/en/pressreleases/2022-03-21-3rd-gen-amd-epyc-processors-amd-3d-v-cachetechnology-deliver-outstanding".

5. Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads

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