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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models., , , , , , , , , и 41 other автор(ы). CoRR, (2021)Bandana: Using Non-volatile Memory for Storing Deep Learning Models., , , , , , , и . CoRR, (2018)Cliffhanger: Scaling Performance Cliffs in Web Memory Caches., , , и . NSDI, стр. 379-392. USENIX Association, (2016)Dynacache: Dynamic Cloud Caching., , , и . HotStorage, USENIX Association, (2015)Check-N-Run: A Checkpointing System for Training Recommendation Models., , , , , , , и . CoRR, (2020)Flashield: a Hybrid Key-value Cache that Controls Flash Write Amplification., , , , , , и . NSDI, стр. 65-78. USENIX Association, (2019)QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models., , , , , , , , , и . NSDI, стр. 731-744. USENIX Association, (2024)Flashield: a Key-value Cache that Minimizes Writes to Flash., , , , , , и . CoRR, (2017)Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models., , , , , , , и . NSDI, стр. 929-943. USENIX Association, (2022)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , и 43 other автор(ы). ISCA, стр. 993-1011. ACM, (2022)