低复杂度的分布式问题队列

J. Abella, Antonio González
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引用次数: 21

摘要

随着技术的发展,功率密度显著增加,冷却系统变得更加复杂和昂贵。问题逻辑是处理器的热点之一,同时,它的延迟对处理器性能至关重要。我们提出了一种低复杂度的FP问题逻辑(MB/spl .bar/distr),以小的能量需求实现高性能。MB/spl I.bar/distr方案基于对指令进行分类,并根据它们的数据依赖性将它们分派到一组队列中。这些指令是根据对其操作数可用时间的估计来选择发出的,因此不需要传统的唤醒活动。此外,功能单元分布在不同的队列中。所提出的方案所需的能量大大低于传统问题设计所需的能量,即使后者具有仅唤醒未就绪操作数的能力。与最先进的方法相比,MB/spl I.bar/distr方案可将能量延迟积降低35%,将能量延迟积降低18%。
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Low-complexity distributed issue queue
As technology evolves, power density significantly increases and cooling systems become more complex and expensive. The issue logic is one of the processor hotspots and, at the same time, its latency is crucial for the processor performance. We present a low-complexity FP issue logic (MB/spl I.bar/distr) that achieves high performance with small energy requirements. The MB/spl I.bar/distr scheme is based on classifying instructions and dispatching them into a set of queues depending on their data dependences. These instructions are selected for issuing based on an estimation of when their operands will be available, so the conventional wakeup activity is not required. Additionally, the functional units are distributed across the different queues. The energy required by the proposed scheme is substantially lower than that required by a conventional issue design, even if the latter has the ability of waking-up only unready operands. MB/spl I.bar/distr scheme reduces the energy-delay product by 35% and the energy-delay product by 18% with respect to a state-of-the-art approach.
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