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Guest Editors' Introduction: Hardware Accelerators for Data Centers., , and . IEEE Des. Test, 35 (1): 5-6 (2018)Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training., , , , , , , , , and 7 other author(s). CoRR, (2021)Learning to Collide: Recommendation System Model Compression with Learned Hash Functions., , , , , , and . CoRR, (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)Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems., , , , , , , , , and 5 other author(s). CoRR, (2020)Introduction to the Special Section on Advances in Physical Design Automation., and . ACM Trans. Design Autom. Electr. Syst., 23 (4): 41:1-41:2 (2018)Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product., , , , , , , , , and 7 other author(s). ISCA, page 1042-1057. ACM, (2022)Algorithms for simultaneous escape routing and Layer assignment of dense PCBs., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 25 (8): 1510-1522 (2006)HLS-based High-throughput and Work-efficient Synthesizable Graph Processing Template Pipeline., , and . ACM Trans. Embed. Comput. Syst., 22 (2): 34:1-34:24 (March 2023)Improving Programmability and Efficiency of Large-Scale Graph Analytics for FPGA Platforms.. ISPD, page 39. ACM, (2019)