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Data compression for thermal mitigation in the Hybrid Memory Cube

机译:数据压缩以减少混合存储多维数据集中的热量

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Main memory performance is becoming an increasingly important factor contributing to overall system performance, especially due to the so-called memory wall. The Hybrid Memory Cube (HMC) is an attempt to overcome this memory wall by stacking DRAM on top of a logic die and interconnecting them with dense and fast through silicon vias (TSVs). However, modeling the Hybrid Memory Cube in HotSpot has indicated that this cube has a natural temperature variation, with the hottest layers at the bottom and the cooler layers at the top. High temperatures and variations within a DRAM can result in reduced performance and efficiency, especially when dynamic thermal management (DTM) schemes are used to throttle DRAM bandwidth whenever temperature gets too high. Hence this paper attempts to reduce the maximum temperature and variation by using data compression, where the compression is performed in the on chip memory controller, and the compressed blocks are read/written using fewer bursts in the Hybrid Memory Cube, hence reducing power dissipation. The compressed blocks are stored only in the hotter banks of the cube to mitigate the thermal gradient in the cube. Maximum temperature was reduced by as much as 6 °C, and since the HMC spent lesser time throttling when DTM schemes were used, a maximum of 14.2% speed up was observed, at an average of 2.8%.
机译:主存储器性能正成为影响整个系统性能的越来越重要的因素,特别是由于所谓的内存墙。混合存储多维数据集(HMC)试图通过将DRAM堆叠在逻辑管芯顶部,并将它们与密集且快速的硅通孔(TSV)互连来克服此存储墙。但是,在HotSpot中对混合内存多维数据集进行建模表明,该多维数据集具有自然的温度变化,最热的层位于底部,较凉的层位于顶部。 DRAM中的高温和变化会导致性能和效率降低,尤其是当温度过高时,如果使用动态热管理(DTM)方案来限制DRAM带宽,则尤其如此。因此,本文尝试通过使用数据压缩来降低最高温度和变化,其中压缩是在片上存储控制器中执行的,并且在混合存储多维数据集中使用较少的突发来读取/写入压缩块,从而降低了功耗。压缩块仅存储在多维数据集的较热库中,以减轻多维数据集中的热梯度。最高温度降低了多达6°C,并且由于使用DTM方案时HMC节流的时间更少,因此观察到最高可提高14.2%的速度,平均速度为2.8%。

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