Geometric Programming Formulation for Gate Sizing with Pipelining Constraints

S. Naidu
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引用次数: 4

Abstract

We propose a novel framework to solve the combined retiming/gate sizing problem in the context of optimization of acyclic pipelines. The adjustment of sizes to gates in a combinational circuit is a continuous problem, solvable by a variety of convex optimization tools provided the delay model for each gate is placed in a convex framework. Retiming is a discrete problem since it involves physically moving registers from one location to another. In this paper, we enhance an existing convex optimization framework proposed by Boyd et al [1] to handle registers as 0-1 variables. We solve the relaxed formulation as a geometric program and glean valuable information about the circuit's performance. Another significant contribution of our paper is that we show that our problem is NP-hard.
具有流水线约束的浇口尺寸几何规划公式
我们提出了一种新的框架来解决在非循环管道优化背景下的组合重定时/门尺寸问题。组合电路中栅极尺寸的调整是一个连续的问题,只要将每个栅极的延迟模型放在一个凸框架中,就可以用各种凸优化工具来求解。重新计时是一个离散的问题,因为它涉及到物理地将寄存器从一个位置移动到另一个位置。在本文中,我们改进了Boyd等人[1]提出的现有凸优化框架,将寄存器处理为0-1变量。我们将松弛公式求解为几何程序,并收集有关电路性能的宝贵信息。我们论文的另一个重要贡献是我们证明了我们的问题是np困难的。
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