RUAD: Unsupervised anomaly detection in HPC systems
The increasing complexity of modern high-performance computing (HPC) systems
necessitates the introduction of automated and data-driven methodologies to support system …
necessitates the introduction of automated and data-driven methodologies to support system …
Dram failure prediction in aiops: Empirical evaluation, challenges and opportunities
DRAM failure prediction is a vital task in AIOps, which is crucial to maintain the reliability and
sustainable service of large-scale data centers. However, limited work has been done on …
sustainable service of large-scale data centers. However, limited work has been done on …
Anomaly detection and anticipation in high performance computing systems
In their quest toward Exascale, High Performance Computing (HPC) systems are rapidly
becoming larger and more complex, together with the issues concerning their maintenance …
becoming larger and more complex, together with the issues concerning their maintenance …
Himfp: Hierarchical intelligent memory failure prediction for cloud service reliability
In large-scale datacenters, memory failure is one of the leading causes of server crashes,
and uncorrectable error (UCE) is the major fault type indicating defects of memory modules …
and uncorrectable error (UCE) is the major fault type indicating defects of memory modules …
A case for transparent reliability in DRAM systems
Today's systems have diverse needs that are difficult to address using one-size-fits-all
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
An in-depth correlative study between DRAM errors and server failures in production data centers
Dynamic Random Access Memory (DRAM) errors are prevalent and lead to server failures
in production data centers. However, little is known about the correlation between DRAM …
in production data centers. However, little is known about the correlation between DRAM …
From correctable memory errors to uncorrectable memory errors: What error bits tell
C Li, Y Zhang, J Wang, H Chen, X Liu… - … Conference for High …, 2022 - ieeexplore.ieee.org
Uncorrectable memory errors are one of the major failure causes in datacenters. In this
paper, we present an empirical study correlating correctable errors (CEs) and uncorrectable …
paper, we present an empirical study correlating correctable errors (CEs) and uncorrectable …
Predicting dram-caused node unavailability in hyper-scale clouds
DRAM faults are major hardware sources of cloud node unavailability. To enable early
preventive actions and mitigate DRAM fault impacts, prior studies focus on predicting DRAM …
preventive actions and mitigate DRAM fault impacts, prior studies focus on predicting DRAM …
Rethinking the Producer-Consumer Relationship in Modern DRAM-Based Systems
Generational improvements to commodity DRAM throughout half a century have long
solidified its prevalence as main memory across the computing industry. However …
solidified its prevalence as main memory across the computing industry. However …
Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field
I Boixaderas, S Moré, J Bartolome, D Vicente… - Proceedings of the 33rd …, 2024 - dl.acm.org
Scaling to larger systems, with current levels of reliability, requires cost-effective methods to
mitigate hardware failures. One of the main causes of hardware failure is an uncorrected …
mitigate hardware failures. One of the main causes of hardware failure is an uncorrected …