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Cache Placement and Power Allocation in Offshore Maritime Wireless Networks.

, , and . VTC Fall, page 1-6. IEEE, (2023)

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FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing., , , , , , , and . ASPLOS (2), page 385-400. ACM, (2024)Scaling Up Subgraph Query Processing with Efficient Subgraph Matching., and . ICDE, page 220-231. IEEE, (2019)FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework., , , , , , , , , and 2 other author(s). Proc. VLDB Endow., 17 (8): 1788-1801 (April 2024)Cache-Efficient Fork-Processing Patterns on Large Graphs., , , , and . SIGMOD Conference, page 1208-1221. ACM, (2021)In-Memory Subgraph Matching: An In-depth Study., and . SIGMOD Conference, page 1083-1098. ACM, (2020)Parallelizing Pruning-based Graph Structural Clustering., , and . ICPP, page 77:1-77:10. ACM, (2018)ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version)., , , , and . CoRR, (2021)Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level., , , , , , , , , and 5 other author(s). Proc. VLDB Endow., 16 (5): 1033-1045 (2023)Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload., , , , , and . SIGMOD Conference, page 1014-1022. ACM, (2021)uBlade: Efficient Batch Processing for Uncertainty Graph Queries., , , , and . Proc. ACM Manag. Data, 2 (3): 179 (2024)