透過您的圖書館登入
IP:18.191.117.103
  • 學位論文

在異質多核心平台的省電排程

A Power Efficient Scheduler for Asymmetric Multi-core Platform

指導教授 : 劉邦鋒
共同指導教授 : 吳真貞(Jan-Jan Wu)
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


在計算平台的最新發展趨勢從同質多核心架構轉移到異構和非對稱多核心架構。因此,新的非對稱多核心平台變成一個重要的議題。然而,大多數現有的排程器著重在如何區分合適的工作負載到那些節能的小核心和性能的大核心上。但是並沒有考慮在非對稱多核心上,以合適的核心頻率下分配工作。 在這篇論文中,在非對稱多核心下,我們提出一個對保證工作產量的省電排程器。我們的排程器不僅能決定每個核心的頻率和指派工作來達成減少電量消耗,而且能保證每個工作的產量。從實作結果中,與常見的完全公平排程器相比,我們提出的排程器省下了29 % 的電量。

並列摘要


A recent trend in computing platforms is moving from homogeneous multicore architectures toward heterogeneous and asymmetric multi-core. Therefore, the design of new schedulers for asymmetric multi-core platform has become an important issue. However, most of the existing schedulers focus on how to distinguish workloads suitable for performance “big” cores from those for power-efficient “little” cores, without considering how to distribute tasks to asymmetric cores running at adjustable frequency. In this paper, we propose an energy-efficient scheduler for throughput guaranteed tasks running on asymmetric multi-core platforms. The proposed scheduler not only determines the frequency of cores and task assignment in order to reduce energy consumption, but also schedules the tasks so that the throughput of all tasks are guaranteed. The implement results indicate that the proposed scheduler consumes 29% less energy than the conventional Compeletely Fair Scheduler with DVFS enabled.

參考文獻


A. Das A. K. Singh and A. Kumar. Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. Design Automation Conference, 2013.
Akash Kumar Anup Das and Bharadwaj Veeravalli. Reliability and energy-aware mapping and scheduling of multimedia applications on multiprocessor systems. IEEE Transactions on Parallel and Distributed Systems, 2016.
P. Bogdan, S. Garg, and U.Y. Ogras. Energy-efficient computing from systems-onchip to micro-server and data centers. In Green Computing Conference and Sustainable Computing Conference (IGSC), 2015 Sixth International, pages 1–6, Dec 2015.
Quan Chen and Minyi Guo. Adaptive workload-aware task scheduling for singleisa asymmetric multicore architectures. ACM Trans. Archit. Code Optim., 11(1): 8:1–8:25, February 2014.
JUAN HAMERS and LIEVEN EECKHOUT. Exploiting media stream similarity for energy-efficient decoding and resource prediction. ACM Transactions on Embedded Computing Systems, 2012.

延伸閱讀