暗硅芯片的分层功率预算

M. U. Khan, M. Shafique, J. Henkel
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引用次数: 11

摘要

新出现的暗硅限制导致应用设计人员仔细考虑可用的热设计功率(TDP)预算、硬件资源和软件特性。在本文中,我们提出了一种在吞吐量限制下并发执行多线程工作负载的应用程序之间分配资源和TDP预算的分层方案。然后,应用程序级别的TDP预算根据线程的工作负载在线程之间进行分区,然后可以在运行时考虑工作负载的变化对其进行微调。我们评估了下一代多线程高效视频编解码器的方案,并证明与最先进的方案相比,该方案的吞吐量提高了30.86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical power budgeting for Dark Silicon chips
The emerging Dark Silicon limitation has led the application designers to carefully consider the available Thermal Design Power (TDP) budgets, hardware resources, and software characteristics. In this paper, we propose a hierarchical scheme for distributing the resources and TDP budget among concurrently executing applications with multi-threaded workloads under throughput constraints. Afterwards, the application-level TDP budget is partitioned among its threads depending upon their workloads, which can then be fine-tuned at run time considering workload variations. We evaluate our scheme for the next-generation, multi-threaded, High Efficiency Video Codec and demonstrate that up to 30.86% higher throughput is achieved compared to the state-of-the-art.
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