首页> 外文会议>Design Automation Conference, 2009. ASP-DAC 2009 >FastYield: Variation-aware, layout-driven simultaneous binding and module selection for performance yield optimization
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FastYield: Variation-aware, layout-driven simultaneous binding and module selection for performance yield optimization

机译:FastYield:变体感知,布局驱动的同时绑定和模块选择,可优化性能产量

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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的重新绑定在相同的时钟周期内比初始绑定平均提高了9.8%的性能。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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