Tailwind introduces ALPs and ML-based planning to integrate workload-specific query accelerators into standard RDBMSes, achieving 1.38x average (up to 29x) speedup on TPC-H queries.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.DB 2years
2026 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
CubeGraph uses hierarchical spatial grids and on-the-fly stitching of per-cell vector graphs to enable single-pass nearest-neighbor search for hybrid vector-spatial queries.
citing papers explorer
-
Tailwind: A Practical Framework for Query Accelerators
Tailwind introduces ALPs and ML-based planning to integrate workload-specific query accelerators into standard RDBMSes, achieving 1.38x average (up to 29x) speedup on TPC-H queries.
-
CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data
CubeGraph uses hierarchical spatial grids and on-the-fly stitching of per-cell vector graphs to enable single-pass nearest-neighbor search for hybrid vector-spatial queries.