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Duplication-controlled static energy-efficient scheduling on multiprocessor computing system

机译:多处理器计算系统上复制控制的静态节能调度

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摘要

Energy-efficient scheduling is a step towards meeting green computing requirements. The work in this direction mainly aims at reducing dynamic energy consumption that includes clock gating, cache subbanking, and dynamic voltage and frequency scaling of underlying processors. However, the emergence of fast and compact transistor sizes has exponentially added onto the processor static power consumption, which has not been paid much attention. This article proposes a duplication-controlled static energy-efficient scheduling (C-SEED) algorithm for scheduling precedence constrained applications on parallel computing systems. The C-SEED algorithm couples adaptive threshold-based duplication with system level dynamic power management technique to achieve its objectives. Dynamic power management works by selectively putting the energy-consuming resources to efficient low-power states for idle times to reduce energy consumption. Efficacy of the proposed algorithm is analyzed and compared against other relevant works on the basis of makespan and total energy (dynamic + static + communication) consumption. The extensive simulation results carried over large set of random and regular task graphs show that the proposed C-SEED algorithm has potential to reduce energy consumption as well as makespan.
机译:节能调度是满足绿色计算要求的一步。这个方向上的工作主要旨在减少动态能耗,包括时钟门控,高速缓存子库以及底层处理器的动态电压和频率缩放。但是,快速而紧凑的晶体管尺寸的出现已成倍地增加了处理器的静态功耗,因此并未引起太多关注。本文提出了一种用于在并行计算系统上调度优先级受限应用的复制控制静态节能调度(C-SEED)算法。 C-SEED算法将基于阈值的自适应复制与系统级动态电源管理技术相结合,以实现其目标。动态电源管理通过有选择地将能耗资源置于空闲时间的有效低功耗状态来降低能耗。分析了所提出算法的有效性,并根据构建时间和总能量(动态+静态+通信)消耗与其他相关工作进行了比较。在大范围的随机和规则任务图上进行的大量仿真结果表明,所提出的C-SEED算法具有降低能耗和制造时间的潜力。

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