Reference health
A machine learning approach to online fault classification in HPC systems
7/7 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 7 checked references that resolve
resolves10.1145/77626.77627
Algorithm 679: A set of level 3 basic linear algebra subprograms: model implementation and test programs
resolves10.1177/1094342006070078
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
The 30 references without a DOI — listed, not checked
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no DOI — not checkedToward exascale resilience: 2014 update
no DOI — not checked10.1016/j.future.2019.11.029_b4
no DOI — not checkedResilience design patterns: A structured approach to resilience at extreme scale
no DOI — not checkedApplication monitoring and checkpointing in HPC: looking towards exascale systems
no DOI — not checkedErrors and faults
no DOI — not checkedThe failure trace archive: Enabling comparative analysis of failures in diverse distributed systems
no DOI — not checkedFlipit: An LLVM based fault injector for HPC
no DOI — not checkedExperimental framework for injecting logic errors in a virtual machine to profile applications for soft error resilience
no DOI — not checkedNFTAPE: a framework for assessing dependability in distributed systems with lightweight fault injectors
no DOI — not checkedFault injection framework for system resilience evaluation: fake faults for finding future failures
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no DOI — not checkedOnline diagnosis of performance variation in HPC systems using machine learning
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no DOI — not checkedCharacterizing application sensitivity to os interference using kernel-level noise injection
no DOI — not checkedFingerprinting the datacenter: automated classification of performance crises
no DOI — not checkedCda: A cloud dependability analysis framework for characterizing system dependability in cloud computing infrastructures
no DOI — not checkedAdaptive anomaly identification by exploring metric subspace in cloud computing infrastructures
no DOI — not checkedOnline detection of utility cloud anomalies using metric distributions
no DOI — not checkedCorrelating instrumentation data to system states: A building block for automated diagnosis and control
no DOI — not checkedThe lightweight distributed metric service: a scalable infrastructure for continuous monitoring of large scale computing systems and applications
no DOI — not checkedThe HPC challenge (HPCC) benchmark suite
no DOI — not checked10.1016/j.future.2019.11.029_b30
no DOI — not checked10.1016/j.future.2019.11.029_b32
no DOI — not checked10.1016/j.future.2019.11.029_b33
no DOI — not checkedScikit-learn: Machine learning in python
no DOI — not checkedMondrian forests: Efficient online random forests
no DOI — not checkedContinuous learning of HPC infrastructure models using big data analytics and in-memory processing tools
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