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RecD: Deduplication for End-to-End Deep Learning Recommendation Model
  Training Infrastructure
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure"

4 / 4 papers shown
MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing
MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing
Rahma Nouaji
Stella Bitchebe
Ricardo Macedo
Oana Balmau
MoE
193
0
0
12 Sep 2025
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
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
470
4
0
30 Sep 2024
Efficient Tabular Data Preprocessing of ML Pipelines
Efficient Tabular Data Preprocessing of ML Pipelines
Yu Zhu
Wenqi Jiang
Gustavo Alonso
LMTD
182
7
0
23 Sep 2024
PreSto: An In-Storage Data Preprocessing System for Training
  Recommendation Models
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
Yunjae Lee
Hyeseong Kim
Minsoo Rhu
167
7
0
11 Jun 2024
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