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 …
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 …
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 …
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 …
Silent data corruptions at scale
Silent Data Corruption (SDC) can have negative impact on large-scale infrastructure
services. SDCs are not captured by error reporting mechanisms within a Central Processing …
services. SDCs are not captured by error reporting mechanisms within a Central Processing …
Toward general software level silent data corruption detection for parallel applications
E Berrocal, L Bautista-Gomez, S Di… - … on Parallel and …, 2017 - ieeexplore.ieee.org
Silent data corruption (SDC) poses a great challenge for high-performance computing
(HPC) applications as we move to extreme-scale systems. Mechanisms have been …
(HPC) applications as we move to extreme-scale systems. Mechanisms have been …
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 …
LADR: Low-cost application-level detector for reducing silent output corruptions
Applications running on future high performance computing (HPC) systems are more likely
to experience transient faults due to technology scaling trends with respect to higher circuit …
to experience transient faults due to technology scaling trends with respect to higher circuit …
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 …
Low-cost program-level detectors for reducing silent data corruptions
With technology scaling, transient faults are becoming an increasing threat to hardware
reliability. Commodity systems must be made resilient to these in-field faults through very …
reliability. Commodity systems must be made resilient to these in-field faults through very …