基于软粗粒度可重构阵列的高级综合方法:提高设计效率和探索极限FPGA频率

Cheng Liu, C. Y. Lin, Hayden Kwok-Hay So
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引用次数: 14

摘要

与使用典型的软件开发流程相比,开发基于fpga的计算应用程序的生产率仍然要低得多。尽管使用高级合成(HLS)工具可以部分缓解这一缺点,但冗长的低级FPGA实现过程仍然是高生产率计算的主要障碍,限制了每天编译-调试-编辑周期的数量。此外,高级应用程序开发人员通常缺乏在fpga上实现高性能所需的硬件工程经验,因此削弱了它们作为加速器的有用性。为了解决生产力和性能问题,提出了一种利用软粗粒度可重构数组(SCGRAs)作为中间编译步骤的HLS方法。编译过程不是直接将高级应用程序编译到电路中,而是简化为针对SCGRA的操作调度任务。
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A Soft Coarse-Grained Reconfigurable Array Based High-level Synthesis Methodology: Promoting Design Productivity and Exploring Extreme FPGA Frequency
Compared to the use of a typical software development flow, the productivity of developing FPGA-based compute applications remains much lower. Although the use of high-level synthesis (HLS) tools may partly alleviate this shortcoming, the lengthy low-level FPGA implementation process remains a major obstacle to high productivity computing, limiting the number of compile-debug-edit cycles per day. Furthermore, high-level application developers often lack the intimate hardware engineering experience that is needed to achieve high performance on FPGAs, therefore undermining their usefulness as accelerators. To address the productivity and performance problems, a HLS methodology that utilizes soft coarse-grained reconfigurable arrays (SCGRAs) as an intermediate compilation step is presented. Instead of compiling high-level applications directly to circuits, the compilation process is reduced to an operation scheduling task targeting the SCGRA.
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