ILP optimal scheduling for multi-module memory

Meikang Qiu, Lei Zhang, E. Sha
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引用次数: 8

Abstract

In high-end digital signal processing (DSP) system, multi-module memory provides high memory bandwidth and low power operating mode for energy savings. However, making full use of these architectural features is a challenging problem for code optimization. In this paper, we propose an integer linear programming model to optimize the performance and energy consumption of multi-module memories by solving variable assignment, instruction scheduling and operating mode setting problems simultaneously. The combined effect of performance and energy saving requirements also has been considered. We develop two optimization techniques to improve the computation efficiency of our ILP model. The experimental results show that the optimal performance and energy solution can be achieved within a reasonable amount of time.
多模块内存的ILP最优调度
在高端数字信号处理(DSP)系统中,多模块存储器提供高存储带宽和低功耗工作模式,从而节省能源。然而,充分利用这些架构特性对于代码优化来说是一个具有挑战性的问题。本文提出了一种整数线性规划模型,通过同时解决变量分配、指令调度和操作模式设置问题来优化多模块存储器的性能和能耗。还考虑了性能和节能要求的综合影响。为了提高ILP模型的计算效率,我们开发了两种优化技术。实验结果表明,在合理的时间内可以获得最优的性能和能量解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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