Work

Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

Year: 2022

Type: conference-paper

Source: ACM SIGMOD International Conference on Management of Data (SIGMOD)

DOI: 10.1145/3514221.3517911

Authors: Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Institutions: Technische Universität Berlin, German Research Centre for Artificial Intelligence, Hasso Plattner Institute, University of Potsdam

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Bundesministerium für Bildung und Forschung, Bundesministerium für Wirtschaft und Energie, H2020 Industrial Leadership

Awards: G3888413332, G3935194709, Verbundprojekt BIFOLD-BZML: Berlin Institute for the Foundations of Learning and Data, Verbundprojekt BIFOLD-BBDC: Berlin Institute for the Foundations of Learning and Data

OpenAlex ID: W4282554945

FWCI: 3.857

Cites: 95

Cited by: 34

Related to: 10