PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models

Training recommendation systems (RecSys) faces several challenges as it requires the "data preprocessing" stage to preprocess an ample amount of raw data and feed them to the GPU for training in a seamless manner. To sustain high training throughput, state-of-the-art solutions reserve a la...

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Bibliographic Details

Published in:	2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) pp. 340 - 353
Main Authors:	Lee, Yunjae, Kim, Hyeseong, Rhu, Minsoo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29.06.2024
Subjects:	computational storage device Costs Data preprocessing Graphics processing units near data processing neural network Parallel processing Power demand Recommendation system Throughput Training
Online Access:	Get full text
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