一种用于高级综合中问题大小缩减和跨基本块并行性开发的渐进式调度框架

Hongbin Zheng, Qingrui Liu, Junyi Li, Dihu Chen, Zixin Wang
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引用次数: 7

摘要

在高级综合中,调度对硬件实现的质量有着至关重要的影响。然而,不同操作的时间表实际上对结果质量的影响是不相等的。基于此,我们提出了一种新的调度框架,该框架能够根据操作对结果质量的重要程度分别对其进行调度,从而避免了在非关键操作上浪费计算精力。此外,所提出的框架支持全局代码运动,这有助于提高硬件实现的速度性能,通过在其父BB上分配操作的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A gradual scheduling framework for problem size reduction and cross basic block parallelism exploitation in high-level synthesis
In High-level Synthesis, scheduling has a critical impact on the quality of hardware implementation. However, the schedules of different operations are actually having unequal impacts on the Quality of Result. Based on this fact, we propose a novel scheduling framework, which is able to schedule the operations separately according their significance to Quality of Result, to avoid wasting the computational efforts on noncritical operations. Furthermore, the proposed framework supports global code motion, which helps to improve the speed performance of the hardware implementation by distributing the execution time of operations across the their parent BB.
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