MLIR HLS适配器对LLVM IR的支持

Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yuan, Tai-Liang Chen, Kuan-Hsun Chen, Jenq-Kuen Lee
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引用次数: 1

摘要

自MLIR出现以来,高级综合(High-level Synthesis, HLS)工具开始进行多层次抽象设计。与基于单一抽象(例如LLVM)的传统HLS工具不同,不同抽象级别的优化可以从跨层优化中受益,从而获得更好的结果。虽然目前带有MLIR的HLS工具可以生成HLS C/ c++进行合成,但我们认为,从MLIR到LLVM的直接IR转换将保留更多的表达式细节。在本文中,我们提出了一个LLVM IR的适配器,该适配器可以将MLIR生成的IR优化为HLS可读IR。没有了不同版本之间不支持语法的差距,开发人员可以专注于他们的专门化。我们的初步结果表明,通过我们的适配器的MLIR流可以产生与MLIR HLS工具生成HLS c++代码的版本相当的性能结果。实验采用Xilinx Vitis和HLS工具进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Support of MLIR HLS Adaptor for LLVM IR
Since the emergence of MLIR, High-level Synthesis (HLS) tools started to design in multi-level abstractions. Unlike the traditional HLS tools that are based on a single abstraction (e.g. LLVM), optimizations in different levels of abstraction could benefit from cross-layer optimizations to get better results. Although current HLS tools with MLIR can generate HLS C/C++ to do synthesis, we believe that a direct IR transformation from MLIR to LLVM will keep more expression details. In this paper, we propose an adaptor for LLVM IR, which can optimize the IR, generated from MLIR, into HLS readable IR. Without the gap of unsupported syntax between different versions, developers could focus on their specialization. Our preliminary results show that the MLIR flow via our adaptor can generate comparable performance results with the version by MLIR HLS tools generating HLS C++ codes. The experiment is performed with Xilinx Vitis and HLS tools.
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