DMTracker
Qi Gao, Feng Qin, Dhabaleswar K. DK Panda · 2007
While software reliability in large-scale systems becomes increasingly important, debugging in large-scale parallel systems remains a daunting task. This paper proposes an innovative technique to find hard-to-detect software bugs that can cause severe problems such as data corruptions and deadlocks in parallel programs automatically via detecting their abnormal behaviors in data movements. Based on the observation that data movements in parallel programs typically follow certain patterns, our idea is to extract data movement (DM)-based invariants at program runtime and check the violations of these invariants. These violations indicate potential bugs such as data races and memory corruption bugs that manifest themselves in data movements.