降低电压自刷新(VRSR)优化DRAM存储器的节能

Diyanesh Chinnakkonda , Venkata Kalyan Tavva , M.B. Srinivas
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摘要

现代计算系统要求DRAM具有更大的容量和带宽,以跟上新的数据密集型应用的冲击。尽管DRAM扩展提供了更高密度的器件来实现高存储容量系统,但能耗已成为关键的设计限制因素。这是由于存储器子系统继续对整个系统能量的很大一部分负责。自刷新模式是一种消耗最少DRAM能量的低功耗状态,这是避免数据丢失的重要操作。然而,自刷新能量也随着密度的缩放而继续增长。本文对通过降低电源电压来降低自刷新能量进行了详细的研究。Gem5全系统模式下的PARSEC基准用于量化在正常、降低和扩展温度范围内降低电压时自刷新节能的优点。使用16nm SPICE模型评估了自刷新操作中涉及的基本操作的延迟影响。还讨论了将工作扩展到实际硬件的可能限制。作为激励未来实现的潜在机会,提出了DRAM架构变化、额外的低功率状态和进入/退出流程,以在自刷新模式下进行降压操作。我们将这种新的低功耗模式称为电压降低自刷新(VRSR)操作。我们的模拟结果表明,在150 mV的电压大幅降低的情况下,工作负载能量最大可节省约12.4%,平均可节省约4%,所有基准的性能损失均小于0.7%。
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Voltage Reduced Self Refresh (VRSR) for optimized energy savings in DRAM Memories

Modern computing systems demand DRAMs with more capacity and bandwidth to keep pace with the onslaught of new data-intensive applications. Though DRAM scaling offers higher density devices to realize high memory capacity systems, energy consumption has become a key design limiter. This is owing to the fact that the memory sub-system continues to be responsible for a significant fraction of overall system energy. Self-refresh mode is one low power state that consumes the least DRAM energy, and this is an essential operation to avoid data loss. However, self-refresh energy also continues to grow with density scaling. This paper carries out a detailed study of reducing self-refresh energy by reducing the supply voltage. PARSEC benchmarks in Gem5 full-system mode are used to quantify the merit of self-refresh energy savings at reduced voltages for normal, reduced, and extended temperature ranges. The latency impacts of basic operations involved in self-refresh operation are evaluated using the 16 nm SPICE model. Possible limitations in extending the work to real hardware are also discussed. As a potential opportunity to motivate for future implementation, DRAM architectural changes, additional low power states and entry/exit flow to exercise reduced voltage operation in self-refresh mode are proposed. We present this new low power mode as Voltage Reduced Self-Refresh (VRSR) operation. Our simulation results show that there is a maximum of 12.4% and an average of 4% workload energy savings, with less than 0.7% performance loss across all benchmarks, for an aggressive voltage reduction of 150 mV.

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