Optimization of Area and Delay at Gate-Level in Multiple Constant Multiplications

L. Aksoy, E. Costa, P. Flores, J. Monteiro
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引用次数: 16

Abstract

Although many efficient high-level algorithms have been proposed for the realization of Multiple Constant Multiplications (MCM) using the fewest number of addition and subtraction operations, they do not consider the low-level implementation issues that directly affect the area, delay, and power dissipation of the MCM design. In this paper, we initially present area efficient addition and subtraction architectures used in the design of the MCM operation. Then, we propose an algorithm that searches an MCM design with the smallest area taking into account the cost of each operation at gate-level. To address the area and delay tradeoff in MCM design, the proposed algorithm is improved to find the smallest area solution under a delay constraint. The experimental results show that the proposed algorithms yield low-complexity and high-speed MCM designs with respect to those obtained by the prominent algorithms designed for the optimization of the number of operations and the optimization of area at gate-level.
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多常数乘法中门级面积和时延的优化
虽然已经提出了许多高效的高级算法来使用最少数量的加减法操作来实现多重常数乘法(Multiple Constant multiplication, MCM),但它们没有考虑直接影响MCM设计的面积、延迟和功耗的低级实现问题。在本文中,我们首先提出了用于MCM操作设计的面积高效加法和减法架构。然后,我们提出了一种算法,该算法考虑到每个操作在门级的成本,搜索具有最小面积的MCM设计。为了解决MCM设计中面积和延迟的权衡问题,改进了该算法,在时延约束下找到最小面积解。实验结果表明,与优化运算次数和优化门级面积的现有算法相比,本文提出的算法可实现低复杂度和高速的MCM设计。
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