@inproceedings{263f50608b19444482e20bd902b8a062,
title = "RecFlash: Fast Recommendation Inference on NAND Flash-Based In-Storage Computing with Embedding-Optimized Data Mapping",
abstract = "Recommendation systems are widely used for personalized suggestions, but the growing amount of user data makes real-time processing difficult. NAND flash-based in-storage computing (ISC) is a favorable solution due to its large capacity, but random memory access patterns in recommendation systems cause underutilized internal bandwidth and degraded performance. This paper proposes RecFlash, a fast recommendation inference accelerator using a data remapping algorithm with NAND flash-based ISC. Experimental results show that it improves latency by up to 81 \% over the existing ISC architectures.",
keywords = "data remapping, hardware accelerator, in-storage computing, NAND flash memory, Recommendation system",
author = "Jangho Baik and Gisan Ji and Wonbo Shim and Sungju Ryu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 21st IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2025 ; Conference date: 12-10-2025 Through 15-10-2025",
year = "2025",
doi = "10.1109/APCCAS67402.2025.11377201",
language = "English",
series = "Proceedings - 2025 21st IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2025 21st IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2025",
}