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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs.

, , , , , , , , and . PACT, page 137-149. IEEE, (2023)

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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs., , , , , , , , and . PACT, page 137-149. IEEE, (2023)TeGraph: A Novel General-Purpose Temporal Graph Computing Engine., , , , , , , , and . ICDE, page 578-592. IEEE, (2022)TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications., , , , , , and . IEEE Trans. Parallel Distributed Syst., 35 (8): 1469-1487 (August 2024)Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System., , , , , and . ASPLOS, page 608-621. ACM, (2018)TEA: A General-Purpose Temporal Graph Random Walk Engine., , , , , , , , , and . EuroSys, page 182-198. ACM, (2023)Revisiting Learned Index with Byte-addressable Persistent Storage., , , , , , , , , and 1 other author(s). ICPP, page 929-938. ACM, (2024)Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems., , , , , , , , , and 2 other author(s). ICS, page 11:1-11:14. ACM, (2022)Tango: rethinking quantization for graph neural network training on GPUs., , , , , and . CoRR, (2023)TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture., , , , , , , , , and 1 other author(s). ACM Trans. Archit. Code Optim., 21 (2): 37 (June 2024)T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture., , , , , , , , and . PACT, page 69-82. ACM, (2022)