Aggressive Slack Recycling via Transparent Pipelines

Gokul Subramanian Ravi, Mikko H. Lipasti
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引用次数: 4

Abstract

In order to operate reliably and produce expected outputs, modern architectures set timing margins conservatively at design time to support extreme variations in workload and environment. Unfortunately, the conservative guard bands set to achieve this reliability create clock cycle slack and are detrimental to performance and energy efficiency. To combat this, we propose Aggressive Slack Recycling via Transparent Pipelines. Our proposal performs timing speculation while allowing data to flow asynchronously via transparent latches, between synchronous boundaries. This allows timing speculation to cater to the average slack across asynchronous operations rather than the slack of the most critical operation - maximizing slack conservation and timing speculation efficiency. We design a slack tracking mechanism which runs in parallel with the transparent data path to estimate the accumulated slack across operation sequences. The mechanism then appropriately clocks synchronous boundaries early to minimize wasted slack and maximize clock cycle savings. We implement our proposal on a spatial fabric and achieves absolute speedups up to 20% and relative improvements (vs. competing mechanisms) of up to 75%.
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通过透明管道积极回收闲置资源
为了可靠地运行并产生预期的输出,现代体系结构在设计时保守地设置时间余量,以支持工作负载和环境的极端变化。不幸的是,为了实现这种可靠性而设置的保守保护带会产生时钟周期松弛,并且对性能和能源效率有害。为了解决这个问题,我们建议通过透明管道积极回收闲置产品。我们的建议执行时间推测,同时允许数据通过透明锁存器在同步边界之间异步流动。这允许时间推测迎合异步操作的平均空闲时间,而不是最关键操作的空闲时间——最大限度地保持空闲时间和时间推测效率。我们设计了一种与透明数据路径并行运行的松弛跟踪机制来估计跨操作序列的累积松弛。然后,该机制适当地提前对同步边界进行计时,以最大限度地减少浪费的空闲时间,并最大限度地节省时钟周期。我们在空间结构上实现了我们的建议,并实现了高达20%的绝对加速和高达75%的相对改进(相对于竞争机制)。
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