activity
20212026
collaborators

7 papers

cs.DB2026

FliX: Flipped-Indexing for Scalable GPU Queries and Updates

Rosina Kharal, Trevor Brown, Justus Henneberg +1

GPU-based concurrent data structures (CDSs) achieve high throughput for read-only queries, but efficient support for dynamic updates on fully GPU-resident data remains challenging.…

cs.DB2026

GPU-RMQ: Accelerating Range Minimum Queries on Modern GPUs

Lara Kreis, Justus Henneberg, Valentin Henkys +2

Range minimum queries are frequently used in string processing and database applications including biological sequence analysis, document retrieval, and web search. Hence, various…

cs.DB2025

Bigger Is Not Better: The Fastest Static GPU Index Is Also Lightweight!

Justus Henneberg, Felix Schuhknecht

Sorting and binary searching a dense array can be considered the simplest and most space efficient form of indexing. This holds especially on GPUs as they exhibit exceptional sorti…

cs.DB2024

More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs

Justus Henneberg, Felix Schuhknecht, Rosina Kharal +1

In recent work, we have shown that NVIDIA's raytracing cores on RTX video cards can be exploited to realize hardware-accelerated lookups for GPU-resident database indexes. On a hig…

cs.DB2023

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

Justus Henneberg, Felix Schuhknecht

Data management on GPUs has become increasingly relevant due to a tremendous rise in processing power and available GPU memory. Similar to main-memory systems, there is a need for…

cs.DB2022

Towards Adaptive Storage Views in Virtual Memory

Felix Schuhknecht, Justus Henneberg

Traditionally, DBMSs separate their storage layer from their indexing layer. While the storage layer physically materializes the database and provides low-level access methods to i…

cs.DB2021

Northlight: Declarative and Optimized Analysis of Atmospheric Datasets in SparkSQL

Justus Henneberg, Felix Schuhknecht, Philipp Reutter +2

Performing data-intensive analytics is an essential part of modern Earth science. As such, research in atmospheric physics and meteorology frequently requires the processing of ver…