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Optimisation techniques for reducing global bus switching activity in realisations of sum-of-products computations in DSP systems

机译:在DSP系统中实现积和计算时减少全局总线切换活动的优化技术

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Optimisation techniques aiming at the reduction of power consumption in digital signal processing (DSP) systems are presented. These optimisation techniques hold for all algorithms, including sum-of-products computations between input data and coefficients, which is a very broad category of DSP algorithms. Power savings are obtained through the reduction of switching activity in both (input and coefficient) data and address buses of the hardware architecture implementing the algorithm. The reduction of switching activity is obtained by means of a shuffling of the sequence, in which the partial products required by the sum-of-products computations are executed. The optimisation problems are formulated as travelling salesman problem (TSP) instances, which is a well known NP-complete problem. The cost function that drives the optimisation process takes explicitly into consideration addressing-related issues, which is not the case in existing approaches dealing with the same problem. Experimental results show that the proposed techniques achieve significant switching activity savings, resulting in corresponding power savings, while ensuring that no penalties are introduced in the address buses.
机译:提出了旨在降低数字信号处理(DSP)系统功耗的优化技术。这些优化技术适用于所有算法,包括输入数据和系数之间的乘积和计算,这是DSP算法中非常广泛的一类。通过减少实现该算法的硬件架构的(输入和系数)数据和地址总线中的开关活动,可以节省功耗。开关活动的减少通过序列的改组获得,在该序列中执行乘积和计算所需的部分乘积。将优化问题表述为旅行商问题(TSP)实例,这是一个众所周知的NP完全问题。驱动优化过程的成本函数明确考虑了与解决相关的问题,在处理相同问题的现有方法中并非如此。实验结果表明,所提出的技术可显着节省开关活动,从而节省相应的功率,同时确保地址总线中不会引入任何代价。

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