Analysis of the Impact Factors on Data Error Propagation in HPC Applications

Algorithmic codes for scientific computing may exhibit diverse levels of tolerance to memory errors, depending on the program behavior when accessing data. There are factors that can be controlled in an HPC program and may influence the tolerance degree to memory errors. A characterization of the degree of vulnerability an application exhibits can help to improve its security as well as save time and resources. In this work, we study some main factors that may have an impact on the propagation of errors originated from memory accesses.