Software Based In-System Memory Test for Highly Available Systems

Singh, Amit Prakash; Bose, D.; Darisala, S.

doi:10.1109/mtdt.2005.34

Cited by 12 publications

(8 citation statements)

References 15 publications

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“…Two previous schemes are directly related to our work, Elm et al [8] and Singh et al [24]; like our work, they propose a software memory test strategy. While both proposals and COMeT implement a memory tester in the OS, the goals and strategies are different.…”

Section: Related Workmentioning

confidence: 82%

COMeT: Continuous Online Memory Test

Rahman

Childers

Cho

2011

2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing

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Abstract-Today's computers have gigabytes of main memory due to improved DRAM density. As density increases, smaller bit cells become more susceptible to errors. With an increase in error susceptibility, the need for memory resiliency also increases. Self-testing of memory health can proactively check for errors to improve resiliency. This paper describes a software-only selftest to continuously test memory. We present the challenges and design for an approach, called Continuous Online Memory Testing (COMeT), that targets chip multiprocessors. COMeT tests memory health simultaneously with application execution in anticipation of allocation requests. The approach guarantees that memory is tested within a fixed time interval to limit exposure to lurking errors. We developed and evaluated an implementation of COMeT. On the SPEC CPU2006 benchmarks, COMeT has a low 4% average performance overhead. When emulated errors were injected into physical memory, applications executed 1.13x to 4.41x longer with COMeT than without it.

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Section: Related Workmentioning

confidence: 82%

COMeT: Continuous Online Memory Test

Rahman

Childers

Cho

2011

2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing

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“…Two previous schemes are related, Elm et al [6] and Singh et al [15]. While both proposals implement OS memory testing, the goals and strategies are different than Asteroid.…”

Section: Related Workmentioning

confidence: 99%

Asteroid

Rahman

Childers

2015

Proceedings of the 12th ACM International Conference on Computing Frontiers

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Memory diagnostics play an important role in addressing the worsening resilience problem for DRAM main memory. As device scales reach the extremes of physical limits, memory is becoming more prone to transient and permanent errors. Online memory diagnostics can be used as part of a comprehensive strategy to mitigate errors. This paper presents a new approach, Asteroid, to incorporate memory diagnostics in a system actively serving a workload. The approach dynamically adjusts itself to workload behavior and resource availability to maximize test thoroughness and minimize performance overhead. In a 16-core enterprise server, Asteroid has modest overhead of 1% to 4% for workloads with low to high memory demand.

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“…A Solaris/SPARC-based online memory test is presented by Singh et al in [14]. This approach uses a simple, kernelbased architecture that sequentially tests memory ranges by applying the fault model of Nair et al [6].…”

Section: A Memory Testsmentioning

confidence: 99%

RAMpage: Graceful Degradation Management for Memory Errors in Commodity Linux Servers

Schirmeier

Neuhalfen

Korb

et al. 2011

2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing

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Abstract-Memory errors are a major source of reliability problems in current computers. Undetected errors may result in program termination, or, even worse, silent data corruption. Recent studies have shown that the frequency of permanent memory errors is an order of magnitude higher than previously assumed and regularly affects everyday operation.Often, neither additional circuitry to support hardwarebased error detection nor downtime for performing hardware tests can be afforded. In the case of permanent memory errors, a system faces two challenges: detecting errors as early as possible and handling them while avoiding system downtime.To increase system reliability, we have developed RAMpage, an online memory testing infrastructure for commodity x86-64-based Linux servers, which is capable of efficiently detecting memory errors and which provides graceful degradation by withdrawing affected memory pages from further use.We describe the design and implementation of RAMpage and present results of an extensive qualitative as well as quantitative evaluation.

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Software Based In-System Memory Test for Highly Available Systems

Cited by 12 publications

References 15 publications

COMeT: Continuous Online Memory Test

COMeT: Continuous Online Memory Test

Asteroid

RAMpage: Graceful Degradation Management for Memory Errors in Commodity Linux Servers

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