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Mapping and Migration Strategies for Thermal Management in Many-Core Systems

机译:多核系统中热管理的映射和迁移策略

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New technology nodes enable the integration of billions of transistors in a small silicon area by replicating identical structures, resulting in many-core systems. However, power density may limit the amount of energy the system can consume. A many-core at its maximum performance may lead to safe temperature violations and, consequently, result in reliability issues. Dynamic Thermal Management (DTM) techniques proposals guarantee that many-core systems run at good performance without compromising reliability. In this paper, we review recent DTM works, discussing their limitations, and propose new heuristics for thermal-aware application mapping and migration, using a hardware accelerator that enables temperature monitoring on systems with a large number of processing elements. Results show that using straightforward heuristics, with reactive actions based on runtime temperature monitoring, reduce the peak temperature in high workload scenarios (6.8%), and improve thermal distribution significantly on a large (8×8) many-core system.
机译:新技术节点通过复制相同的结构,可以在小面积的硅片上集成数十亿个晶体管,从而形成多核系统。但是,功率密度可能会限制系统消耗的能量。多核处理器在其最大性能下可能会导致违反温度的安全规定,从而导致可靠性问题。动态热管理(DTM)技术建议可确保多核系统以良好的性能运行而不会损害可靠性。在本文中,我们回顾了DTM的最新工作,讨论了它们的局限性,并使用硬件加速器对热感知应用程序映射和迁移提出了新的启发式方法,该加速器可在具有大量处理元素的系统上进行温度监控。结果表明,使用简单的启发式方法以及基于运行时温度监控的反应性操作,可以在高工作负载情况下降低峰值温度(6.8%),并在大型(8×8)多核系统上显着改善热分布。

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