Lune

HPCA2021顶会

CARE: Coordinated Augmentation for Elastic Resilience on DRAM Errors in Data Centers

Jian Chen, Xiaowei Jiang, Ying Zhang, Liyin Liu, Huifeng Xu, Qiang Liu

2021年份
9被引次数
1顶会引用

摘要

As the computation density and memory capacity continues to grow, DRAM errors have become the leading cause of server crashes and/or system failures in modern data centers. While myriads of techniques have been proposed to mitigate their impact on system reliability, these solutions either incur significant overhead on performance, power and memory capacity or require modifying multiple system components; hence, they are impractical to implement or deploy. This paper proposes CARE, a novel error tolerance framework for efficient and elastic resilience on DRAM errors. It introduces a cache-like structure in the memory controller for dynamic error tracking and proactive resilience enhancement to achieve high error tolerance economically and practically. Experiment results show that with around 58KB area overhead in the memory controller, CARE achieves near Chipkill reliability without any memory capacity penalty and incurs negligible performance overhead compared with the baseline SEC-DED systems. CARE provides an attractive alternative to enhance the reliability in data centers.

问问这篇 Paper

问问你的智能体。

Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。

可以从这些问题问起

智能体调用

Lunesearch_papers

在 Lune 里问

免费开始,无需绑卡

lune papers get c0bcab8a-b4e1-42b5-b01f-2812d1e002e3

引用它的顶会 Paper1

问问它们各自怎么用它

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖