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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Aging-Aware Energy-Efficient Workload Allocation for Mobile Multimedia Platforms
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Aging-Aware Energy-Efficient Workload Allocation for Mobile Multimedia Platforms

机译：用于移动多媒体平台的具有老化意识的节能工作量分配

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摘要

Multicore platforms are characterized by increasing variability and aging effects that imply heterogeneity in core performance, energy consumption, and reliability. In particular, wear-out effects such as negative-bias-temperature-instability require runtime adaptation of system resource utilization to time-varying and uneven platform degradation, so as to prevent premature chip failure. In this context, task allocation techniques can be used to deal with heterogeneous cores and extend chip lifetime while minimizing energy and preserving quality of service. We propose a new formulation of the task allocation problem for variability affected platforms, which manages per-core utilization to achieve a target lifetime while minimizing energy consumption during the execution of rate-constrained multimedia applications. We devise an adaptive solution that can be applied online and approximates the result of an optimal, offline version. Our allocator has been implemented and tested on real-life functional workloads running on a timing accurate simulator of a next-generation industrial multicore platform. We extensively assess the effectiveness of the online strategy both against the optimal solution and also compared to alternative state-of-the-art policies. The proposed policy outperforms state-of-the-art strategies in terms of lifetime preservation, while saving up to 20 percent of energy consumption without impacting timing constraints.
机译：多核平台的特点是可变性和老化效应不断增加，这暗示着核心性能，能耗和可靠性的异构性。特别是，诸如负偏压温度不稳定性之类的磨损效应要求系统资源利用的运行时间适应于随时间变化和不均匀的平台降级，从而防止芯片过早失效。在这种情况下，任务分配技术可用于处理异构内核并延长芯片寿命，同时将能耗降至最低并保持服务质量。我们提出了一种针对受可变性影响的平台的任务分配问题的新方案，该方案可管理每核利用率以实现目标寿命，同时在执行速率受限的多媒体应用程序时将能耗降至最低。我们设计了一种自适应解决方案，该解决方案可以在线应用，并且可以估算最佳离线版本的结果。我们的分配器已在运行于下一代工业多核平台的定时精确模拟器上的实际功能工作负载上进行了实现和测试。我们针对最佳解决方案以及与替代性最新技术进行了广泛的评估，评估了在线策略的有效性。拟议的策略在生命周期保持方面优于最新策略，同时在不影响时序约束的情况下节省了多达20％的能耗。

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