基于同步功能单元和寄存器分配的高级综合数据密集型应用电源管理

Feng Wu, N. Xu, Fei Zheng, Fubing Mao
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引用次数: 3

摘要

随着制造业的发展,实现数据密集型应用的专用集成电路(asic)的容量也在增加。从高层次上看,功能单元(FUs)和寄存器分配的结果对功耗、热、面积和时序等都有重要影响,特别是对于数据主导的行为。功率最小化技术可以应用于设计层次的不同层次,但高层次综合(high-level synthesis, HLS)由于其固有的更好的设计空间探索能力而受到了特别的关注。近年来,人们提出了各种各样的寄存器优化方法。本文提出了一种新的同时分配FUs和寄存器的方法,该方法结合启发式列表调度算法和左侧边缘算法来优化寄存器数和功耗。实验结果表明,不同的FUs分配结果平均减少了1.83个寄存器数。与传统的分配方法相比,功耗降低了5.81%。为了优化面积配合设计需求,就会以牺牲功耗为代价,我们的设计方法也可以实现功率面积的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous functional units and register allocation based power management for high-level synthesis of data-intensive applications
With the development of fabrication, the capacities of application-specific integrated circuits (ASICs) that implement data-intensive applications are increasing as well. in high-level view, the results of functional units (FUs) and register allocation have a significant impact on power, thermal, area and timing etc., especially for data-dominated behaviors. Techniques for power minimization might be applied in different levels of the design hierarchy, but high-level synthesis (HLS) has attracted a special attention due to its inherent ability of better design space exploration. All kinds of methods for register optimization are presented in the recent past. This paper presents a new simultaneous FUs and register allocation method, which combining heuristic list scheduling algorithm and left-edge algorithm to optimize register number and power. From the experimental results, it shows that different FUs allocation results deliver an average 1.83 reduction in register number. And compared with traditional allocation method, we can obtain a 5.81% reduction in power consumption. In order to optimize area with the design demand, it will be at the expense of power dissipation, our design method also can achieve power-area balance.
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