基于FPGA和DDR3的哈希碰撞解决策略研究
首发时间:2025-03-24
摘要:随着互联网的快速发展,网络流量激增,数据处理的复杂性不断提高。在大规模数据存储与高速检索的应用场景中,如网络安全、入侵检测、负载均衡等,对实时性和高效性的需求尤为突出。然而,传统的数据存储和查找方法难以满足高吞吐量、低延迟的要求,因此,哈希表因其高速查询的优势,被广泛应用于各类高性能计算系统中。哈希碰撞是影响哈希表性能的关键问题,直接决定了其查找效率和正确性。针对这一问题,本文在分析现有哈希碰撞解决策略的基础上,提出了一种优化的哈希碰撞解决方案--链表空间法,并结合 FPGA 与 DDR3 进行硬件实现。本文通过硬件仿真验证了所提出方案的正确性,并通过实验评估其在不同数据规模下的适用性。实验结果表明,该方案能够有效减少哈希冲突带来的性能损耗,在 FPGA 环境下实现了高效且资源优化的哈希表存储结构。
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Research on Hash Collision Resolution Strategies Based on FPGA and DDR3
Abstract:With the rapid development of the Internet, network traffic has surged, and the complexity of data processing continues to increase. In application scenarios involving large-scale data storage and high-speed retrieval, such as network security, intrusion detection, and load balancing, the demand for real-time performance and efficiency is particularly critical. However, traditional data storage and lookup methods struggle to meet the requirements of high throughput and low latency. As a result, hash tables, known for their high-speed query capabilities, have been widely adopted in various high-performance computing systems. Hash collisions are a key issue affecting the performance of hash tables, directly determining their lookup efficiency and correctness. To address this problem, this paper analyzes existing hash collision resolution strategies and proposes an optimized collision resolution approach-the linked list space method-implemented in hardware using FPGA and DDR3. The proposed solution is verified through hardware simulation, and its applicability under different data scales is evaluated through experiments. Experimental results show that this approach effectively reduces the performance degradation caused by hash collisions, achieving an efficient and resource-optimized hash table storage structure in an FPGA environment.
Keywords: Integrated Circuit Hash Table Hash Collision FPGA DDR3
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基于FPGA和DDR3的哈希碰撞解决策略研究
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