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GalOP: Towards a GPU-Accelerated OLTP DBMS

Boeschen, Nils ; Binnig, Carsten (2021):
GalOP: Towards a GPU-Accelerated OLTP DBMS.
In: DAMON'21: Proceedings of the 17th International Workshop on Data Management on New Hardware,
ACM, SIGMOD/PODS '21: International Conference on Management of Data, virtual Conference, 20.-25.06.2021, ISBN 978-1-4503-8556-5,
DOI: 10.1145/3465998.3466007,
[Conference or Workshop Item]

Abstract

In this paper, we present GalOP - a GPU-accelerated main memory DBMS for OLTP. At the core GalOP is based on a novel deterministic concurrency scheme for GPUs which orders conflicting transactions before the execution on the GPU. In our initial evaluation, we show that GalOP can provide robust performance for high and low conflict scenarios and outperforms recent CPU-based schemes by up to 10x.

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Boeschen, Nils ; Binnig, Carsten
Title: GalOP: Towards a GPU-Accelerated OLTP DBMS
Language: English
Abstract:

In this paper, we present GalOP - a GPU-accelerated main memory DBMS for OLTP. At the core GalOP is based on a novel deterministic concurrency scheme for GPUs which orders conflicting transactions before the execution on the GPU. In our initial evaluation, we show that GalOP can provide robust performance for high and low conflict scenarios and outperforms recent CPU-based schemes by up to 10x.

Title of Book: DAMON'21: Proceedings of the 17th International Workshop on Data Management on New Hardware
Publisher: ACM
ISBN: 978-1-4503-8556-5
Uncontrolled Keywords: dm
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Data Management
Event Title: SIGMOD/PODS '21: International Conference on Management of Data
Event Location: virtual Conference
Event Dates: 20.-25.06.2021
Date Deposited: 10 Dec 2021 09:39
DOI: 10.1145/3465998.3466007
Additional Information:

Was hold within the 17th International Workshop on Data Management on New Hardware, part of the Conference

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