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Workload-Driven Data Placement for GPU-Accelerated Database Management Systems

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2019

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Gesellschaft für Informatik, Bonn

Zusammenfassung

An increase in the memory capacity of current Graphics Processing Unit (GPU) generations and advances in multi-GPU systems enables a large unified GPU memory space to be utilized by modern coprocessor-accelerated Database Management System (DBMS). We take this as an opportunity to revisit the idea of using GPU memory as a hot cache for the DBMS. In particular, we focus on the data placement for the hot cache. Based on previous approaches and their shortcomings, we present a new workload-driven data placement for a GPU-accelerated DBMS. Lastly, we outline how we aim to implement and evaluate our proposed approach by comparing it to existing data placement approaches in future work.

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Schmidt, Christopher; Uflacker, Matthias (2019): Workload-Driven Data Placement for GPU-Accelerated Database Management Systems. BTW 2019 – Workshopband. DOI: 10.18420/btw2019-ws-08. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-684-8. pp. 91-94. 1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). Rostock. 4.-8. März 2019

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