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Patronus: High-Performance and Protective Remote Memory.

, , , , and . FAST, page 315-330. USENIX Association, (2023)

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Kraken: memory-efficient continual learning for large-scale real-time recommendations., , , , , , , , , and . SC, page 21. IEEE/ACM, (2020)Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems., , , and . CoRR, (2021)Interface design for a modern software ticketing system., , and . ACM Southeast Regional Conference, page 122-127. ACM, (2004)Citron: Distributed Range Lock Management with One-sided RDMA., , , , and . FAST, page 297-314. USENIX Association, (2023)Fleche: an efficient GPU embedding cache for personalized recommendations., , , , , , and . EuroSys, page 402-416. ACM, (2022)PetPS: Supporting Huge Embedding Models with Persistent Memory., , , , , , and . Proc. VLDB Endow., 16 (5): 1013-1022 (2023)Patronus: High-Performance and Protective Remote Memory., , , , and . FAST, page 315-330. USENIX Association, (2023)Mobius: Fine Tuning Large-Scale Models on Commodity GPU Servers., , , , , and . ASPLOS (2), page 489-501. ACM, (2023)Common Coupling and Pointer Variables, with Application to a Linux Case Study, , , , , , , , and . Software Quality Journal, 15 (1): 99--113 (March 2006)Nap: Persistent Memory Indexes for NUMA Architectures., , , , and . ACM Trans. Storage, 18 (1): 2:1-2:35 (2022)