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An ultra-low power resilient multi-core architecture with static and dynamic tolerance to ambient temperature-induced variability

机译:超低功耗弹性多核架构,具有对环境温度引起的变化的静态和动态容差

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Near-threshold operation is today a key research area in Ultra-Low Power (ULP) computing, as it promises a major boost in energy efficiency compared to super-threshold computing and it mitigates thermal bottlenecks. Unfortunately near-threshold operation is plagued by greatly increased sensitivity to threshold voltage variations, such as those caused by ambient temperature fluctuation. In this paper we focus on a tightly-coupled ULP processor cluster architecture where a low latency, high-bandwidth processor-to-L1-memory interconnection network plays a key role. We propose an architectural scheme to tolerate ambient temperature-induced variations capable of statically (off-line) and dynamically (on-line) adapting the processor-to-L1 -memory latency without compromising execution correctness. We extensively tested our solution in different scenarios and we evaluated the different design trade-offs, showing the cost, performance and reliability gain compared to state-of-the-art static solutions. The dynamic solution, thanks to its lightweight runtime overhead, outperforms the static solution and is able to reach a performance gain up to 25% in a typical use case scenario with a very low (<4%) area overhead.
机译:如今,近阈值操作是超低功耗(ULP)计算的一个关键研究领域,因为与超阈值计算相比,它有望在能源效率方面大幅度提高,并且可以缓解热瓶颈。不幸的是,由于对阈值电压变化(例如由环境温度波动引起的变化)的敏感性大大提高,近阈值操作受到困扰。在本文中,我们重点关注紧密耦合的ULP处理器集群体系结构,其中低延迟,高带宽处理器到L1内存互连网络起着关键作用。我们提出了一种架构方案,以容许环境温度引起的变化,该变化能够静态地(离线)和动态地(在线)适应处理器到L1存储器的延迟,而不会影响执行的正确性。我们在不同的情况下对我们的解决方案进行了广泛的测试,并评估了不同的设计折衷方案,显示了与最新静态解决方案相比的成本,性能和可靠性提升。由于动态解决方案的轻量级运行时开销,其性能优于静态解决方案,并且在典型的用例场景中,只有非常低的区域开销(<4%),才能实现高达25%的性能提升。

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