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Wukong: Towards a Scaling Law for Large-Scale Recommendation., , , , , , , , , и 5 other автор(ы). CoRR, (2024)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)Supporting Address Translation for Accelerator-Centric Architectures., , , и . HPCA, стр. 37-48. IEEE Computer Society, (2017)Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training., , , , , , , , , и . ICS, стр. 336-347. ACM, (2023)Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale., , , , , , , , , и 12 other автор(ы). WWW (Companion Volume), стр. 73-82. ACM, (2024)In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms., , , , , и . ACM Trans. Reconfigurable Technol. Syst., 12 (1): 4:1-4:20 (2019)Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation., , , , , , , , , и 4 other автор(ы). CoRR, (2024)On-chip interconnection network for accelerator-rich architectures., , , , и . DAC, стр. 8:1-8:6. ACM, (2015)Best-Effort FPGA Programming: A Few Steps Can Go a Long Way, , , , , , и . (2018)cite arxiv:1807.01340.Architectural Techniques to Enhance the Efficiency of Accelerator-Centric Architectures.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt8p2116wz).