GPU-accelerated data management under the test of time
Summary: Empirical analysis showing PCIe interconnects—rather than GPU compute—dominate performance limits for GPU-accelerated DBMS and weaken benefits of late materialization and data-sharing across evolving interconnects, architectures, and workloads. Proposes a hybrid eager/lazy materialization, aggressive data-sharing, and an HTAP system design that removes software-level interference, demonstrating recovered throughput and memory-bus–friendly OLAP-style transfer optimizations. (summarized by gpt-5-mini on Feb 09 2026)
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