High-level synthesis with behavioral level multi-cycle path analysis

Hongbin Zheng, S. Gurumani, Liwei Yang, Deming Chen, K. Rupnow
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引用次数: 22

Abstract

High-level synthesis (HLS) tools generate register transfer level (RTL) hardware descriptions through a process of resource allocation, scheduling and binding. Intuitively, RTL quality influences the logic synthesis quality. Specifically, the achievable clock rate, area, and latency in clock cycles will be determined by the RTL description. However, not all paths should receive equal logic synthesis effort - multi-cycle paths represent an opportunity to spend logic synthesis effort elsewhere to achieve better design quality. In this paper, we perform multi-cycle optimisation on chained functional operations. We couple HLS and logic synthesis synergistically so multi-cycle paths can be identified and optimised coherently across both behavioral and logic levels. In addition, we perform multi-cycle path analysis at the behavioral level efficiently. We prove that our technique examines all reachable circuit state and finds multi-cycle paths including control flow and guarding conditions that improve the flexibility and power of the technique. Compared to LegUp, we achieve average 55% execution time improvement, 29% area improvement, and 68% time-area product improvement targeting FPGA architecture.
高级综合与行为层面的多周期路径分析
高级综合(HLS)工具通过资源分配、调度和绑定过程生成寄存器传输级(RTL)硬件描述。直观地看,RTL质量影响逻辑合成质量。具体来说,时钟周期中可实现的时钟速率、面积和延迟将由RTL描述确定。然而,并不是所有的路径都应该得到相同的逻辑综合努力——多循环路径代表了在其他地方花费逻辑综合努力以获得更好的设计质量的机会。在本文中,我们对链式函数操作进行了多周期优化。我们将HLS和逻辑综合协同结合,以便在行为和逻辑层面上一致地识别和优化多循环路径。此外,我们有效地在行为层面进行了多周期路径分析。我们证明了我们的技术可以检查所有可到达的电路状态,并找到包括控制流和保护条件在内的多周期路径,从而提高了技术的灵活性和功率。与LegUp相比,针对FPGA架构,我们实现了平均55%的执行时间改进,29%的面积改进和68%的时域产品改进。
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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