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FastYield: Variation-Aware, Layout-Driven Simultaneous Binding and Module Selection for Performance Yield Optimization

机译:FastYield:变异感知,布局驱动的同步绑定和模块选择,实现性能优化

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摘要

While technology scaling has presented many new and exciting opportunities, new design challenges have arisen due to increased density, and delay and power variations. High level synthesis has been touted as a solution to these problems, as it can significantly reduce the number of man hours required for a design by raising the level of abstraction. In this paper, we propose a new variation-aware high-level synthesis binding/module selection algorithm, named FastYield, which takes into consideration multiplexers, functional units, registers, and interconnects. Additionally, FastYield connects with the lower levels of the design hierarchy through its inclusion of a timing driven floorplanner guided by a statistical static timing analysis (SSTA) engine which is used to modify/enhance the synthesis solution. FastYield is able to incorporate spatial correlations of process variations in its optimization, which are shown to affect performance yield. On average, FastYield achieves a clock period that is 14.5% smaller, and a performance yield gain of 78.9%, when compared to a variation-unaware algorithm. By making use of accurate timing information, FastYield’s rebinding improves performance yield by an average of 9.8% over the initial binding, for the same clock period. To the best of our knowledge, this is the first high-level synthesis binding/module selection algorithm that is layout-driven and variation aware.
机译:尽管技术扩展带来了许多新的令人兴奋的机会,但由于密度增加,延迟和功率变化而引起了新的设计挑战。高层综合已经被吹捧为解决这些问题的方法,因为它可以通过提高抽象水平来显着减少设计所需的工时。在本文中,我们提出了一种新的变体感知高级综合绑定/模块选择算法,称为FastYield,该算法考虑了多路复用器,功能单元,寄存器和互连。此外,FastYield通过包含由统计静态时序分析(SSTA)引擎引导的时序驱动的平面规划师,可与设计层次结构的较低级别连接,该引擎用于修改/增强综合解决方案。 FastYield能够在其优化中纳入过程变化的空间相关性,这会影响性能产量。与不了解变化的算法相比,FastYield的时钟周期平均缩短了14.5%,性能收益提高了78.9%。通过使用准确的时间信息,FastYield的重新绑定可以在相同的时钟周期内将性能提高平均比初始绑定提高9.8%。据我们所知,这是第一个受布局驱动和变化感知的高级综合绑定/模块选择算法。

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