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High-Level Synthesis for FPGAs: From Prototyping to Deployment

机译:FPGA的高级综合:从原型设计到部署

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Escalating system-on-chip design complexity is pushing the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early generations of commercial high-level synthesis (HLS) systems, we believe that the tipping point for transitioning to HLS methodology is happening now, especially for field-programmable gate array (FPGA) designs. The latest generation of HLS tools has made significant progress in providing wide language coverage and robust compilation technology, platform-based modeling, advancement in core HLS algorithms, and a domain-specific approach. In this paper, we use AutoESL's AutoPilot HLS tool coupled with domain-specific system-level implementation platforms developed by Xilinx as an example to demonstrate the effectiveness of state-of-art C-to-FPGA synthesis solutions targeting multiple application domains. Complex industrial designs targeting Xilinx FPGAs are also presented as case studies, including comparison of HLS solutions versus optimized manual designs. In particular, the experiment on a sphere decoder shows that the HLS solution can achieve an 11–31% reduction in FPGA resource usage with improved design productivity compared to hand-coded design.
机译:片上系统设计复杂性的不断提高,促使设计界将抽象级别提高到寄存器传输级别之外。尽管没有成功采用早期的商业高级综合(HLS)系统,但我们认为过渡到HLS方法的临界点正在发生,特别是对于现场可编程门阵列(FPGA)设计。最新一代的HLS工具在提供广泛的语言覆盖范围和强大的编译技术,基于平台的建模,核心HLS算法的改进以及特定领域的方法方面取得了重大进展。在本文中,我们以AutoESL的AutoPilot HLS工具与Xilinx开发的特定于域的系统级实现平台为例,来演示针对多个应用程序域的最新C-to-FPGA综合解决方案的有效性。案例研究还介绍了针对Xilinx FPGA的复杂工业设计,包括HLS解决方案与优化的手动设计的比较。尤其是,在球面解码器上进行的实验表明,与手工编码设计相比,HLS解决方案可以将FPGA资源使用量减少11%至31%,并提高了设计生产率。

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