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At the inaugural IEEE RAS in Data Center Summit (June 11‑12, California), ByteDance’s STE team presented two papers—one on AI‑guided, prediction‑based memory error prevention and another on building high‑reliability AI server head nodes—detailing challenges, solutions, and future directions for data‑center RAS.
This article explains how GWP‑ASan, a low‑overhead sampling memory‑sanitizer developed by Google, can be integrated on Windows to detect heap errors such as use‑after‑free, buffer‑underflow, buffer‑overflow and double‑free, describes its monitoring principles, hook implementation, crash‑report augmentation, and presents real‑world case studies and remediation strategies.
This article classifies the typical reasons why C/C++ programs generate core dumps, explains how to use gdb and other techniques to locate the faults, and provides concrete case studies covering error handling, multithreading issues, and third‑party library pitfalls.