26 citations · 63 across the 6 of their papers we have counts for
10 papers · 1 filter
RadixSpline: A Single-Pass Learned Index
Andreas Kipf, Ryan Marcus, Alexander van Renen +4
Recent research has shown that learned models can outperform state-of-the-art index structures in size and lookup performance. While this is a very promising result, existing learn…
SOSD: A Benchmark for Learned Indexes
Andreas Kipf, Ryan Marcus, Alexander van Renen +4
A groundswell of recent work has focused on improving data management systems with learned components. Specifically, work on learned index structures has proposed replacing traditi…
GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons
Christian Winter, Andreas Kipf, Christoph Anneser +3
As individual traffic and public transport in cities are changing, city authorities need to analyze urban geospatial data to improve transportation and infrastructure. To that end,…
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning
Dimitri Vorona, Andreas Kipf, Thomas Neumann +1
The amount of the available geospatial data grows at an ever faster pace. This leads to the constantly increasing demand for processing power and storage in order to provide data a…
On the Impact of Memory Allocation on High-Performance Query Processing
Dominik Durner, Viktor Leis, Thomas Neumann
Somewhat surprisingly, the behavior of analytical query engines is crucially affected by the dynamic memory allocator used. Memory allocators highly influence performance, scalabil…
Estimating Cardinalities with Deep Sketches
Andreas Kipf, Dimitri Vorona, Jonas Müller +6
We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries. Deep Sketches are powered by a new deep learning approa…