Using DSP blocks to compute CRC hash in FPGA (abstract only)

V. Pus, Lukás Kekely, Tomás Závodník
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Abstract

Hash table and its variations are common ways to implement lookup operations in FPGA. The process of adding to, deleting from, and searching in the hash table uses one or more hash functions to compute the address to the table. A suitable hash function must meet statistical properties such as uniform distribution, use of all input bits, large change of output based on small change of input. Other desirable parameters are high throughput and low FPGA resources usage. We propose a novel approach to the CRC hash computation in FPGA. The method is suitable for applications such as hash tables, which use parallel inputs of fixed size and require high throughput. We employ DSP blocks present in modern FPGAs to perform all the necessary XOR operations, therefore our solution does not use any LUTs. We propose a Monte Carlo based heuristic to reduce the number of DSP blocks required. Our experimental results show that one DSP block capable of 48 XOR operations can replace around eleven 6-input LUTs. Our results further show that our solution performs less XOR operations than the solution with LUTs optimized by the synthesizer.
在FPGA中使用DSP块计算CRC哈希(仅抽象)
哈希表及其变体是FPGA中实现查找操作的常用方法。在哈希表中添加、删除和搜索的过程使用一个或多个哈希函数来计算表的地址。一个合适的哈希函数必须满足统计特性,如均匀分布、使用所有输入位、基于小输入变化的大输出变化。其他理想的参数是高吞吐量和低FPGA资源使用。我们提出了一种新的FPGA CRC哈希计算方法。该方法适用于哈希表等使用固定大小的并行输入且需要高吞吐量的应用程序。我们使用现代fpga中存在的DSP块来执行所有必要的异或操作,因此我们的解决方案不使用任何lut。我们提出了一种基于蒙特卡罗的启发式算法来减少所需的DSP块数量。我们的实验结果表明,一个能够进行48次异或运算的DSP模块可以取代大约11个6输入lut。我们的结果进一步表明,我们的解决方案比使用合成器优化的lut的解决方案执行更少的异或操作。
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