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首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >Input space adaptive design: a high-level methodology for optimizing energy and performance
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Input space adaptive design: a high-level methodology for optimizing energy and performance

机译：输入空间自适应设计：用于优化能源和性能的高级方法

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This paper presents a high-level design methodology, called input space adaptive design, and new design automation algorithms for optimizing energy consumption and performance. Our techniques can be applied to behaviors described in hardware description languages, predesigned register-transfer level (RTL) circuits, or in the context of traditional high-level design methodologies. An input space adaptive design exploits the well-known fact that the quality of circuits can be significantly optimized by employing algorithms and implementation architectures that adapt to input statistics. This paper shows that harnessing the principles of input space adaptive design into a structured high-level design methodology can lead to large improvements in performance and energy consumption. We illustrate the tradeoffs involved in such designs, and demonstrate the need for a systematic design methodology in order to realize the full potential for performance and energy improvements. We propose a methodology for input space adaptive design that consists of the following steps: identification of parts of the behavior that hold the highest potential for optimization, selection of input subspaces whose occurrence can lead to significant reductions in implementation complexity, and transformation of the behavior to realize performance and/or energy savings. Evaluations of performance, energy, and area characteristics of input space adaptive designs in the context of a commercial high-level design flow indicate that such designs can reduce energy consumption by up to 58.9% (average of 40.0%), and simultaneously improve performance by up to 57.5% (average of 41.8%) compared to well-optimized designs that do not employ such techniques. The energy-delay product is reduced by up to 77.9% (average of 64.8%). When the performance improvements are translated into additional energy savings through supply voltage reduction, input space adaptive designs consume up to 74.2% (average of 68.8%) less energy at the same performance. The average area overhead is only 7.4%.
机译：本文提出了一种高级设计方法，称为输入空间自适应设计，以及用于优化能耗和性能的新型设计自动化算法。我们的技术可以应用于以硬件描述语言，预先设计的寄存器传输级（RTL）电路或传统高级设计方法环境下描述的行为。输入空间自适应设计利用了众所周知的事实，即可以通过采用适应输入统计数据的算法和实现架构来显着优化电路质量。本文表明，将输入空间自适应设计的原理运用到结构化的高级设计方法中，可以大大提高性能和能耗。我们举例说明了此类设计所涉及的权衡，并说明了需要一种系统的设计方法，以实现性能和能源改进的全部潜力。我们提出了一种用于输入空间自适应设计的方法，该方法包括以下步骤：识别行为中具有最优化潜力的部分，选择输入子空间，这些子空间的出现会导致实现复杂性的显着降低，以及行为的转变实现性能和/或节能。在商业高级设计流程的背景下，对输入空间自适应设计的性能，能量和面积特性的评估表明，此类设计可以减少多达58.9％（平均40.0％）的能耗，并同时通过以下方式提高性能：与未采用此类技术的经过优化的设计相比，最高可达57.5％（平均为41.8％）。耗能产品最多减少了77.9％（平均为64.8％）。当性能改进通过降低电源电压转化为更多的能源节省时，在相同性能下，输入空间自适应设计可减少多达74.2％（平均68.8％）的能耗。平均面积开销仅为7.4％。

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