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Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads.

, , , , , , , , , , and . OSDI, page 495-514. USENIX Association, (2021)

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Systemizing Interprocedural Static Analysis of Large-scale Systems Code with Graspan., , , , , , , , , and 1 other author(s). ACM Trans. Comput. Syst., 38 (1-2): 4:1-4:39 (2020)Yashme: detecting persistency races., , and . ASPLOS, page 830-845. ACM, (2022)Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs., , , , , , , and . NSDI, page 497-513. USENIX Association, (2023)Hermit: Low-Latency, High-Throughput, and Transparent Remote Memory via Feedback-Directed Asynchrony., , , , , , , and . NSDI, page 181-198. USENIX Association, (2023)Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge., , , , , , , and . NSDI, page 973-994. USENIX Association, (2023)Checking robustness to weak persistency models., , , , and . PLDI, page 490-505. ACM, (2022)Towards memory-efficient inference in edge video analytics., , , , , , and . HotEdgeVideo@MobiCom, page 31-37. ACM, (2021)Semeru: A Memory-Disaggregated Managed Runtime., , , , , , , , , and . OSDI, page 261-280. USENIX Association, (2020)Crafty: efficient, HTM-compatible persistent transactions., , and . PLDI, page 59-74. ACM, (2020)Enabling Large Dynamic Neural Network Training with Learning-based Memory Management., , , , , , , , and . HPCA, page 788-802. IEEE, (2024)