Voltage Reduced Self Refresh (VRSR) for optimized energy savings in DRAM Memories

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

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.

降低电压自刷新(VRSR)优化DRAM存储器的节能
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%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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