Feb 1, 2023 · In this paper we do a cross-stack performance and resource utilization analysis of five GPU database systems. We study both database-level and ...
Feb 1, 2023 · Query performance in GPU database systems depends on several factors: (1) the computational capacity of the GPU, (2) the imple- mentation of ...
A cross-stack performance and resource utilization analysis of five GPU database systems is done, which addresses a key user pain point in selecting optimal ...
What influences GPU Compute Efficiency? • Arithmetic Intensity (AI): num operations / num bytes read. • Stalls from loading data from device memory.
Database systems can save GPU runtime costs through just-enough resource allocation or improve query throughput with concurrent query processing by leveraging ...
The key contributions of this paper are: We motivate the need for revisiting query processing in VDBMSs by showing that there is no longer a significant gap in ...
Feb 9, 2023 · Bibliographic details on Revisiting Query Performance in GPU Database Systems.
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Apr 11, 2022 · In this paper, we propose to use the powerful GPU and a series of advanced optimization mechanisms to accelerate bootstrap, thus make it feasible to address ...
Feb 3, 2023 · "Revisiting Query Performance in GPU Database Systems", arXiv, Feb 1, 2023 https://t.co/HuWPAFVaji Cross-stack performance and resource ...
Our experiments show improvements ranging from 32.4% to 48.6% in query execution time, depending on the specific technique and hardware configuration. However, ...