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VLDB Endow.18, 12 (2025), 5126–5138

Nitish Upreti, Harsha Vardhan Simhadri, Hari Sudan Sundar, Krishnan Sundaram, Samer Boshra, Balachandar Perumalswamy, Shivam Atri, Martin Chisholm, Revti Raman Singh, Greg Yang, Tamara Hass, Nitesh Dudhey, Subramanyam Pattipaka, Mark Hildeb · 2025 · arXiv 0601.375063

2 Pith papers cite this work. Polarity classification is still indexing.

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cs.DB 2

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2026 2

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Should I Hide My Duck in the Lake?

cs.DB · 2026-02-21 · unverdicted · novelty 5.0

A vision for a cloud SmartNIC that hides Parquet decoding costs by offloading parsing and filters directly on the network datapath, backed by DuckDB performance estimates.

To GPU or Not to GPU: Vector Search in Relational Engines

cs.DB · 2026-05-15 · conditional · novelty 4.0

Relational engines achieve faster SQL+vector-search queries on GPU than CPU when using compact vector indexes and fast interconnects, reversing the CPU-only design in current systems.

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Showing 2 of 2 citing papers.

  • Should I Hide My Duck in the Lake? cs.DB · 2026-02-21 · unverdicted · none · ref 31

    A vision for a cloud SmartNIC that hides Parquet decoding costs by offloading parsing and filters directly on the network datapath, backed by DuckDB performance estimates.

  • To GPU or Not to GPU: Vector Search in Relational Engines cs.DB · 2026-05-15 · conditional · none · ref 50

    Relational engines achieve faster SQL+vector-search queries on GPU than CPU when using compact vector indexes and fast interconnects, reversing the CPU-only design in current systems.