Abstract
In this demonstration, we present a new CPU-FPGA heterogeneous gStore system. The previous gStore system is based on CPU and has low join query performance when the data size is too big. We implement a FPGA-based join module to speed up join queries. Furthermore, we design a FPGA-friendly data structure called FFCSR to facilitate it. We compare our new system with the previous one on the LUBM2B dataset. Experimental results demonstrate that the new CPU-FPGA heterogeneous system performs better than the previous one based on CPU.
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Acknowledgment
This work was supported by The National Key Research and Development Program of China under grant 2018YFB1003504 and NSFC under grant 61932001.
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Su, X., Lin, Y., Zou, L. (2020). A New CPU-FPGA Heterogeneous gStore System. In: Wang, X., Zhang, R., Lee, YK., Sun, L., Moon, YS. (eds) Web and Big Data. APWeb-WAIM 2020. Lecture Notes in Computer Science(), vol 12318. Springer, Cham. https://doi.org/10.1007/978-3-030-60290-1_39
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DOI: https://doi.org/10.1007/978-3-030-60290-1_39
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