SPACE-Timers: A Lightweight Hierarchical Timing System for C++

SPACE-Timers is a hierarchical profiling framework designed for C++ applications in high-performance computing (HPC). It employs a stack-based timing model to capture deeply nested execution patterns, representing runtime behavior as a tree of timing nodes. This approach allows for precise attribution of runtime costs, enabling developers to identify performance bottlenecks and optimize their code. The framework provides structured reports with recursive aggregation, detection of unaccounted time, and compact visual summaries of runtime distribution, facilitating both quick inspection and detailed analysis. SPACE-Timers supports multiple profiling backends, including NVTX, ITT, ROCtx, and Omnitrace, and integrates with the MERIC runtime system to enable energy-aware optimization. Its successful use in OpenGadget3 demonstrates its effectiveness for large-scale scientific applications. The framework's ability to provide detailed runtime analysis and support for multiple profiling backends makes it a valuable tool for optimizing the performance of complex scientific applications. By identifying performance bottlenecks and enabling energy-aware optimization, SPACE-Timers can lead to significant improvements in computational efficiency and resource utilization.

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