Figure 2 From Mitigating Silent Data Corruptions In Hpc Applications Across Multiple Program

By switzerlandersing On Sep 15, 2025

Mitigating Silent Data Corruptions In HPC Applications Across Multiple Program Inputs? | Argonne ...

Mitigating Silent Data Corruptions In HPC Applications Across Multiple Program Inputs? | Argonne ... With the ever shrinking size of transistors, silent data corruptions (sdcs) are becoming a common yet serious issue in hpc. selective instruction duplication (s. Hence, we proposed sentinel, an automated compiler based framework to mitigate the loss of sdc coverage. evaluation results show that sentinel can effectively mitigate the loss of sdc coverage (up to 97.00%) across multiple inputs, which significantly hardens existing sid techniques.

Effect And Propagation Of Silent Data Corruption In HPC Applications

Effect And Propagation Of Silent Data Corruption In HPC Applications A new technical paper titled “mitigating silent data corruptions in hpc applications across multiple program inputs” was published by researchers at university of iowa, baidu security, and argonne national lab. Abstract: with the ever shrinking size of transistors, silent data corruptions (sdcs) are becoming a common yet serious issue in hpc. selective instruction duplication (sid) is a widely used fault tolerance technique that can obtain high sdc coverage with low performance overhead. We conduct experiments with representative hpc workloads to measure the performance gains obtained through these optimizations, and the error detection coverage they achieve. Minpsid is proposed, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage, and can effectively mitigate the loss of sdc coverage across multiple inputs.

(PDF) Lightweight Silent Data Corruption Detection Based On Runtime Data Analysis For HPC ...

(PDF) Lightweight Silent Data Corruption Detection Based On Runtime Data Analysis For HPC ... We conduct experiments with representative hpc workloads to measure the performance gains obtained through these optimizations, and the error detection coverage they achieve. Minpsid is proposed, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage, and can effectively mitigate the loss of sdc coverage across multiple inputs. We propose minpsid, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage. evaluation shows minpsid can effectively mitigate the loss of sdc coverage across multiple inputs. We propose minpsid, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage. evaluation shows minpsid can effectively mitigate the loss of sdc coverage across multiple inputs. This work proposes a novel communication avoiding approach of detecting and mitigating sdcs at the job level within the work load manager, assuming a directed acyclic graph (dag) job model. each job only communicates a locally generated output data hash. To mitigate the overall overhead of fault tolerance techniques, we propose letgo, an approach that attempts to continue the execution of a hpc application when crashes would otherwise occur.

High Performance Computing (HPC) Applications And Examples

High Performance Computing (HPC) Applications And Examples We propose minpsid, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage. evaluation shows minpsid can effectively mitigate the loss of sdc coverage across multiple inputs. We propose minpsid, an automated sid framework that automatically identifies and re prioritizes incubative instructions in a given program to enhance sdc coverage. evaluation shows minpsid can effectively mitigate the loss of sdc coverage across multiple inputs. This work proposes a novel communication avoiding approach of detecting and mitigating sdcs at the job level within the work load manager, assuming a directed acyclic graph (dag) job model. each job only communicates a locally generated output data hash. To mitigate the overall overhead of fault tolerance techniques, we propose letgo, an approach that attempts to continue the execution of a hpc application when crashes would otherwise occur.