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Throughput balancing for energy efficient near-threshold manycores

机译:节能平衡为节能接近阈值多功能

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Recently, manycore architectures are widely adopted for providing the increasing throughput demands and requirements imposed by software complexity and volume explosion. At the same time, the threat of Dark Silicon points to the direction of energy efficient platforms. Near Threshold Computing (NTC) paradigm has recently emerged as the premise of energy efficient operation at the expense of performance degradation, which can be compensated through massive parallelization. In this paper, we propose a runtime management scheme for improved NTC many core energy efficiency. Assuming a feasible, low overhead Power Delivery Network (PDN) for NTC, we propose an algorithm for balancing throughput under process (and workload) variability that sustains performance while reducing power 43.5% on average. Through an extensive experimental campaign, we show the efficiency of the proposed approach for configuring NTC many core architectures.
机译:最近,广泛采用了多芯架构来提供软件复杂性和体积爆炸所施加的吞吐量需求和要求。同时,暗芯片的威胁指向节能平台的方向。近阈值计算(NTC)范式最近被出现为节能操作的前提,以牺牲性能降级为代价,可以通过大规模的并行化来补偿。在本文中,我们提出了一种改进NTC许多核心能效的运行时管理方案。假设NTC的可行低开销电源传送网络(PDN),我们提出了一种算法,用于平衡吞吐量的过程(和工作负载)可变性,该变量维持性能,同时平均降低功率43.5%。通过广泛的实验活动,我们展示了配置NTC许多核心架构的提出方法的效率。

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