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TraceFlow: Efficient Trace Analysis for Large-Scale Parallel Applications via Interaction Pattern-Aware Trace Distribution

Yuyang Jin, Xirui Shui, Mingshu Zhai, Zan Zong, Feng Zhang, Felix Wolf, Jidong Zhai

2025Year
3Citations

Abstract

Trace analysis of large-scale parallel applications is crucial for understanding and optimizing performance. It primarily focuses on the interaction behaviors between different parallel processes, such as synchronization waits and asynchronous overlaps. The trace size explodes as the parallel scale of applications, thus current methods analyze traces in parallel to ensure analysis speed. However, due to the interaction pattern-agnostic trace distribution, they often introduce inter-process communications to fetch non-local event data during interaction analysis, leading to excessively long trace analysis time.

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