Abstract
The vast amount of processing power and memory bandwidth provided by modern graphics cards make them an interesting platform for data-intensive applications. Unsurprisingly, the database research community has identified GPUs as effective co-processors for data processing several years ago. In the past years, there were many approaches to make use of GPUs at different levels of a database system. In this paper, we summarize the major findings of the literature on GPU-accelerated data processing. Based on this survey, we present key properties, important trade-offs and typical challenges of GPU-aware database architectures, and identify major open research questions.
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Breß, S., Heimel, M., Siegmund, N., Bellatreche, L., Saake, G. (2014). Exploring the Design Space of a GPU-Aware Database Architecture. In: Catania, B., et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_25
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DOI: https://doi.org/10.1007/978-3-319-01863-8_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01862-1
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