Benchmarks for FPGA-Targeted High-Level-Synthesis

H. M. Waidyasooriya, Yasuaki Iimura, M. Hariyama
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Abstract

Recently, high-level synthesis (HLS) tools such as "Intel FPGA SDK for OpenCL'" and "Xilinx SDAccel" have been introduced to design FPGA accelerators. Those HLS tools use "C language" based environment to significantly reduce the design time. However, it is also important to know how much performance we can achieve using HLS tools. FPGA is a highly reconfigurable hardware and the performances are extremely different depending on the architecture. Performances also depend on the FPGA board, HLS software and firmware such as BSP (board support package). Therefore, benchmarking FPGAs is an extremely challenging task. This paper proposes a method to design benchmarks for FPGA-targeted HLS. The benchmarks are highly scalable and can be used for different FPGAs and compilers to obtain most of the potential performance. Evaluating four different FPGAs, we found that the single-precision floating-point computation performance varies from 17 GFLOPS to 3,955 GFLOPS depending on the operation and the FPGA. We have obtained 64% and 43% of the peak performance of single-precision computation for Arria 10 and Stratix 10 FPGAs respectively. The fixed-point computation performance heavily depends on the bit size and varies from 8 GOPS to 12,800 GOPS.
针对fpga的高级合成基准
最近,引入了“Intel FPGA SDK for OpenCL”和“Xilinx SDAccel”等高级综合(high-level synthesis, HLS)工具来设计FPGA加速器。这些HLS工具使用基于“C语言”的环境,大大减少了设计时间。然而,了解使用HLS工具可以实现多少性能也很重要。FPGA是一种高度可重构的硬件,不同架构的FPGA性能差异很大。性能还取决于FPGA板,HLS软件和固件,如BSP(板支持包)。因此,对fpga进行基准测试是一项极具挑战性的任务。本文提出了一种针对fpga的HLS的基准设计方法。基准测试具有高度可扩展性,可用于不同的fpga和编译器,以获得大部分潜在性能。通过对四种不同FPGA的评估,我们发现单精度浮点运算性能的变化范围从17 GFLOPS到3,955 GFLOPS,具体取决于操作和FPGA。我们分别获得了Arria 10和Stratix 10 fpga单精度计算峰值性能的64%和43%。定点计算性能很大程度上取决于比特的大小,从8gops到12800gops不等。
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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