An FPGA implementation of high-throughput key-value store using Bloom filter

J. Cho, Kiyoung Choi
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引用次数: 15

Abstract

This paper presents an efficient implementation of key-value store using Bloom filters on FPGA. Bloom filters are used to reduce the number of unnecessary accesses to the hash tables, thereby improving the performance. Additionally, for better hash table utilization, we use a modified cuckoo hashing algorithm for the implementation. They are implemented in FPGA to further improve the performance. Experimental results show significant performance improvement over existing approaches.
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基于布隆滤波器的高吞吐量键值存储的FPGA实现
本文提出了一种在FPGA上利用布隆滤波器实现键值存储的有效方法。布隆过滤器用于减少对哈希表不必要的访问次数,从而提高性能。此外,为了更好地利用哈希表,我们使用了一种改进的布谷鸟哈希算法来实现。它们在FPGA中实现,以进一步提高性能。实验结果表明,与现有方法相比,该方法的性能有显著提高。
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