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RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
Conference on Machine Learning and Systems (MLSys), 2022
9 November 2022
Mark Zhao
Dhruv Choudhary
Devashish Tyagi
A. Somani
Max Kaplan
Sung-Han Lin
S. Pumma
Jongsoo Park
Aarti Basant
Niket Agarwal
Carole-Jean Wu
Christos Kozyrakis
VLM
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Papers citing
"RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure"
4 / 4 papers shown
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Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Yejin Lee
Anna Y. Sun
Basil Hosmer
Bilge Acun
Can Balioglu
...
Ram Pasunuru
Scott Yih
Sravya Popuri
Xing Liu
Carole-Jean Wu
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30 Sep 2024
Efficient Tabular Data Preprocessing of ML Pipelines
Yu Zhu
Wenqi Jiang
Gustavo Alonso
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156
7
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23 Sep 2024
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
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Minsoo Rhu
125
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11 Jun 2024
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