HLScope+,:快速准确的FPGA HLS性能估计

Young-kyu Choi, P. Zhang, Peng Li, J. Cong
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引用次数: 30

摘要

高级综合(HLS)工具通过设计自动化和抽象极大地提高了现场可编程门阵列(FPGA)编程人员的工作效率。然而,副作用是许多架构细节对程序员是隐藏的。因此,希望改进其设计性能的程序员通常难以识别性能瓶颈。确实,当前的HLS工具通过固定的循环计数提供了一些性能估计,但是对于具有输入依赖执行行为的程序,它们通常无法做到这一点。此外,它们的外部内存延迟模型也不能准确地适应实际的基于总线的共享内存体系结构。本文描述了一种解决这些问题的高级周期估计方法。为了减少时间开销,我们提出了一种结合HLS软件仿真的周期估计过程。我们还提出了一种自动代码检测技术,该技术可以在机载执行中准确地找到失速的原因。实验结果表明,我们的框架为计算绑定模块和dram绑定模块提供了周期估计,平均错误率分别为1.1%和5.0%,适用于amd - pcie - 7v3板。该方法比FPGA生成比特流的速度快两个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HLScope+,: Fast and accurate performance estimation for FPGA HLS
High-level synthesis (HLS) tools have vastly increased the productivity of field-programmable gate array (FPGA) programmers with design automation and abstraction. However, the side effect is that many architectural details are hidden from the programmers. As a result, programmers who wish to improve the performance of their design often have difficulty identifying the performance bottleneck. It is true that current HLS tools provide some estimate of the performance with a fixed loop count, but they often fail to do so for programs with input-dependent execution behavior. Also, their external memory latency model does not accurately fit the actual bus-based shared memory architecture. This work describes a high-level cycle estimation methodology to solve these problems. To reduce the time overhead, we propose a cycle estimation process that is combined with the HLS software simulation. We also present an automatic code instrumentation technique that finds the reason for stall accurately in on-board execution. The experimental results show that our framework provides a cycle estimate with an average error rate of 1.1% and 5.0% for compute- and DRAM-bound modules, respectively, for ADM-PCIE-7V3 board. The proposed method is about two orders of magnitude faster than the FPGA bitstream generation.
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