首页> 外文会议>2010 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum >Integrated energy-aware cyclic and acyclic scheduling for clustered VLIW processors
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Integrated energy-aware cyclic and acyclic scheduling for clustered VLIW processors

机译:集群VLIW处理器的集成能源感知循环和非循环调度

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The technological trend towards smaller feature size and related implications of reduced threshold voltage and increased number of transistors pose a power management challenge. Leakage power dominates total processor power in smaller technologies. In VLIW and clustered VLIW architectures, the large number of functional units with relatively simpler issue logic contribute significantly to the overall power consumption. The underutilization of functional units (because of inherent limitations in ILP among others) causes a significant amount of this power to be consumed in the form of leakage power. Architectural schemes proposed in the past suffer from a limited program view thereby compromising a good amount of energy savings in the form of extra transitions to/from low leakage mode. Energy aware scheduling in the context of VLIW architectures has mostly focused on acyclic scheduling. In this paper, we propose a simple and integrated compiler directed scheme that obtains significant energy savings in functional units for VLIW and clustered VLIW and works equally well for both cyclic as well as acyclic scheduled regions. Our compiler directed scheme increases energy savings in functional units up to 9% and 26% in VLIW architecture and clustered VLIW architecture respectively. We provide a preliminary experimental analysis of our algorithms using the Trimaran 4.0 compiler infrastructure.
机译:朝着更小的特征尺寸的技术趋势以及降低的阈值电压和增加的晶体管数量的相关含义提出了功率管理的挑战。在较小的技术中,泄漏功率支配着处理器的总功率。在VLIW和群集VLIW架构中,具有相对较简单的发布逻辑的大量功能单元在总体功耗上有很大贡献。功能单元的未充分利用(由于ILP的固有局限性)导致大量这种功率以泄漏功率的形式被消耗。过去提出的架构方案受程序观点的限制,从而以向低泄漏模式/从低泄漏模式的额外过渡的形式损害了大量的能量节省。在VLIW架构中,节能感知调度主要集中在非循环调度上。在本文中,我们提出了一种简单且集成的编译器定向方案,该方案可在VLIW和群集VLIW的功能单元中节省大量能源,并且在循环和非循环调度区域中均能很好地工作。在VLIW架构和群集VLIW架构中,我们的编译器定向方案将功能单元的能源节省分别提高了9%和26%。我们使用Trimaran 4.0编译器基础结构对算法进行了初步的实验分析。

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