The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: 7th Workshop on Programming and Performance Visualization Tools (ProTools)
Authors: Yuheng Chen and Junjie Li (Texas Advanced Computing Center) and Chun-Yaung Lu and Yinzhi Wang (Texas Advanced Computing Center (TACC))
Abstract: Instrumentation-based profiling is essential for uncovering fine-grained optimization opportunities in High-Performance Computing (HPC) and cloud applications, yet static instrumentation methods often impose fixed profiling overheads that cannot adapt to the dynamic workloads from applications at runtime. We further develop PEAK, a Dynamic Binary Instrumentation (DBI)-based profiler with two complementary modes for overhead control: a static mode, which enforces an upper limit on the absolute instrumentation overhead, and a dynamic mode based on the heartbeat mechanism, which controls the relative overhead in real time to maintain a user-defined ratio. Evaluations of workloads ranging from compute-intensive kernels to lightweight functions show that the heartbeat mechanism effectively bounds overhead while improving profile accuracy compared to static methods, delivering predictable and adaptive profiling performance for long-running, dynamic workloads.
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