Mitigating Silent Data Corruptions in High Performance Computing

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. The paper was a Best Paper finalist at SC22. The researchers "propose MinpSID, an automated SID framework that automatically identifies and re-prioritizes incubative instructions in a... » read more