Havens: Explicit reliable memory regions for HPC applications

Saurabh Hukerikar, C. Engelmann
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引用次数: 2

Abstract

Supporting error resilience in future exascale-class supercomputing systems is a critical challenge. Due to transistor scaling trends and increasing memory density, scientific simulations are expected to experience more interruptions caused by transient errors in the system memory. Existing hardware-based detection and recovery techniques will be inadequate to manage the presence of high memory fault rates. In this paper we propose a partial memory protection scheme based on region-based memory management. We define the concept of regions called havens that provide fault protection for program objects. We provide reliability for the regions through a software-based parity protection mechanism. Our approach enables critical program objects to be placed in these havens. The fault coverage provided by our approach is application agnostic, unlike algorithm-based fault tolerance techniques.
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避风港:用于高性能计算应用程序的显式可靠内存区域
在未来的百亿亿级超级计算系统中支持错误弹性是一个关键的挑战。由于晶体管的缩放趋势和存储器密度的增加,科学模拟预计会遇到更多由系统存储器中的瞬态错误引起的中断。现有的基于硬件的检测和恢复技术将不足以管理高内存故障率的存在。本文提出了一种基于区域内存管理的部分内存保护方案。我们定义了称为避风港的区域概念,它为程序对象提供故障保护。我们通过基于软件的奇偶保护机制为区域提供可靠性。我们的方法使关键的程序对象能够放置在这些避风港中。与基于算法的容错技术不同,我们的方法提供的故障覆盖与应用程序无关。
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