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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Vydané v:	2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) s. 340 - 353
Hlavní autori:	Lee, Yunjae, Kim, Hyeseong, Rhu, Minsoo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.06.2024
Predmet:	computational storage device Costs Data preprocessing Graphics processing units near data processing neural network Parallel processing Power demand Recommendation system Throughput Training
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