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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)QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models., , , , , , , , , и . NSDI, стр. 731-744. USENIX Association, (2024)AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models., , , , , , , , , и 6 other автор(ы). OSDI, стр. 817-831. USENIX Association, (2023)Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking., , , , , , , , , и 3 other автор(ы). AdKDD@KDD, том 3556 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale., , , , , , , , , и 8 other автор(ы). CoRR, (2021)Wukong: Towards a Scaling Law for Large-Scale Recommendation., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Wukong: Towards a Scaling Law for Large-Scale Recommendation., , , , , , , , , и 3 other автор(ы). ICML, OpenReview.net, (2024)Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation., , , , , , , , , и 4 other автор(ы). CoRR, (2024)