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Wukong: Towards a Scaling Law for Large-Scale Recommendation., , , , , , , , , and 5 other author(s). CoRR, (2024)New enhanced clustering algorithms for patient referrals in medical consortia., , , and . Comput. Ind. Eng., (2022)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)Supporting Address Translation for Accelerator-Centric Architectures., , , and . HPCA, page 37-48. IEEE Computer Society, (2017)PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel., , , , , , , , , and 8 other author(s). Proc. VLDB Endow., 16 (12): 3848-3860 (2023)Architectural Techniques to Enhance the Efficiency of Accelerator-Centric Architectures.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt8p2116wz).Identifying Experts in Community Question Answering Website Based on Graph Convolutional Neural Network., , , and . IEEE Access, (2020)A quantitative analysis on microarchitectures of modern CPU-FPGA platforms., , , , , and . DAC, page 109:1-109:6. ACM, (2016)MTIA: First Generation Silicon Targeting Meta's Recommendation Systems., , , , , , , , , and 46 other author(s). ISCA, page 80:1-80:13. ACM, (2023)Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training., , , , , , , , , and . ICS, page 336-347. ACM, (2023)