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- W4284967996 abstract "Processing hybrid transactional/analytical workloads on graph data can significantly benefit from GPU accelerators. However, to exploit the full potential of GPU processing, dedicated graph representations are necessary, which make inplace updates difficult. In this paper, we discuss an approach for adaptive handling of updates in a graph database system for HTAP workloads. We discuss and evaluate strategies for propagating updates from an update-friendly table storage to a GPU-optimized sparse matrix format." @default.
- W4284967996 created "2022-07-10" @default.
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- W4284967996 date "2022-05-01" @default.
- W4284967996 modified "2023-10-01" @default.
- W4284967996 title "Adaptive Update Handling for Graph HTAP" @default.
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- W4284967996 doi "https://doi.org/10.1109/icdew55742.2022.00007" @default.
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