The Hardware Acceleration of SC Decoder for Polar Code towards HLS Optimization

Yujie Huang, Yujie Cai, Ming-e Jing, Jun Han, Yibo Fan, Xiaoyang Zeng
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Abstract

With the extensive use of hardware acceleration for complex algorithms, fast hardware implementations of those algorithms with HLS become necessary. However, high performance hardware generated with HLS needs numerous skills and the successive-cancellation (SC) decoding algorithm for polar code, which is widely used in 5G era, can’t be converted from c code to verilog code with HLS directly because of the recursion in it. In this paper, we firstly find out the operation laws of SC decoding algorithm; secondly, we expand the recursion in the SC decoding algorithm according to the laws; thirdly, we convert float point data to fixed point which reduces LUT resources by 63.5% and simplify the function consisting of exponential and logarithm operation through Taylor Expansion to reduce hardware resource and accelerate the hardware; finally, we apply pipeline in for loop which reduces cycles by 29% and call on-chip RAM in HLS to quickly generate high performance SC decoder which consumes low hardware resources.
面向HLS优化的极性码SC解码器硬件加速
随着硬件加速在复杂算法中的广泛应用,使用HLS实现这些算法的快速硬件实现变得非常必要。然而,HLS生成的高性能硬件需要大量的技能,而5G时代广泛使用的极性码的SC译码算法,由于HLS的递归性,无法直接从c代码转换为verilog代码。本文首先找出了SC译码算法的运算规律;其次,对SC译码算法中的递归进行了扩展;第三,将浮点数据转换为定点数据,使LUT资源减少63.5%,并通过Taylor展开简化由指数运算和对数运算组成的函数,减少硬件资源,加快硬件速度;最后,我们在for循环中应用流水线,减少了29%的周期,并在HLS中调用片上RAM,快速生成消耗较少硬件资源的高性能SC解码器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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