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arXiv · 2309.16520

SwiftSpatial: Spatial Joins on Modern Hardware

Wenqi Jiang·Oleh-Yevhen Khavrona·Martin Parvanov·Gustavo Alonso
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Abstract

Spatial joins are among the most time-consuming spatial queries, remaining costly even in parallel and distributed systems. In this paper, we explore hardware acceleration for spatial joins by proposing SwiftSpatial, an FPGA-based accelerator that can be deployed in data centers and at the edge. SwiftSpatial contains multiple high-performance join units with innovative hybrid parallelism, several efficient memory management units, and an extensible on-chip join scheduler that supports the popular R-tree synchronous traversal and partition-based spatial-merge (PBSM) algorithms. Benchmarked against various CPU and GPU-based spatial data processing systems, SwiftSpatial demonstrates a latency reduction of up to 41.03x relative to the best-performing baseline, while requiring 6.16x less power. The performance and energy efficiency of SwiftSpatial demonstrate its potential to be used in a variety of configurations (e.g., as an accelerator, near storage, in-network) as well as on different devices (e.g., data centers where FPGAs are widely available or mobile devices, which also contain FPGAs for specialized processing).

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Wenqi Jiang, Oleh-Yevhen Khavrona, Martin Parvanov, Gustavo Alonso. 2023-09-28. SwiftSpatial: Spatial Joins on Modern Hardware. https://arxiv.org/abs/2309.16520

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