MACORD: online adaptive machine learning framework for silent error detection
Future high-performance computing (HPC) systems with ever-increasing resource capacity
(such as compute cores, memory and storage) may significantly increase the risks on …
(such as compute cores, memory and storage) may significantly increase the risks on …
An efficient silent data corruption detection method with error-feedback control and even sampling for HPC applications
S Di, E Berrocal, F Cappello - 2015 15th IEEE/ACM …, 2015 - ieeexplore.ieee.org
The silent data corruption (SDC) problem is attracting more and more attentions because it
is expected to have a great impact on exascale HPC applications. SDC faults are hazardous …
is expected to have a great impact on exascale HPC applications. SDC faults are hazardous …
Adaptive impact-driven detection of silent data corruption for HPC applications
S Di, F Cappello - IEEE Transactions on Parallel and …, 2016 - ieeexplore.ieee.org
For exascale HPC applications, silent data corruption (SDC) is one of the most dangerous
problems because there is no indication that there are errors during the execution. We …
problems because there is no indication that there are errors during the execution. We …
Lightweight silent data corruption detection based on runtime data analysis for HPC applications
Next-generation supercomputers are expected to have more components and, at the same
time, consume several times less energy per operation. Consequently, the number of soft …
time, consume several times less energy per operation. Consequently, the number of soft …
Spatial support vector regression to detect silent errors in the exascale era
As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …
(HPC) systems with targeted power and energy budget goals introduces significant …
Neural network based silent error detector
As we move toward exascale platforms, silent data corruptions (SDC) are likely to occur
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …
Exploring the capabilities of support vector machines in detecting silent data corruptions
As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …
(HPC) systems with targeted power and energy budget goals introduces significant …
[PDF][PDF] Toward effective detection of silent data corruptions for hpc applications
S Di, E Berrocal, L Bautista-Gomez… - Proceedings of the …, 2014 - sc14.supercomputing.org
Because of the large number of components, future extreme-scale systems are expected to
suffer a lot of silent data corruptions. Changes caused by silent errors flipping low-order bit …
suffer a lot of silent data corruptions. Changes caused by silent errors flipping low-order bit …
Exploring partial replication to improve lightweight silent data corruption detection for HPC applications
Silent data corruption (SDC) poses a great challenge for high-performance computing
(HPC) applications as we move to extreme-scale systems. If not dealt with properly, SDC …
(HPC) applications as we move to extreme-scale systems. If not dealt with properly, SDC …
Soft error detection for iterative applications using offline training
Silent data corruption (SDC) from soft errors is one of the challenges for Exascale systems
as the number of cores is increasing and the feature size is decreasing. In recent years, a …
as the number of cores is increasing and the feature size is decreasing. In recent years, a …