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The document discusses the development of portable profiling and tracing tools for parallel scientific applications written in C++. It highlights the challenges posed by evolving C++ features, such as templates and object-oriented programming, which necessitate new analysis techniques. The authors introduce the TAU profiling package, designed to support performance measurement in parallel C++ programs, addressing issues like class-based profiling, template instrumentation, and runtime function identification. The paper emphasizes the importance of low overhead and portability in profiling tools while providing examples from real applications to demonstrate TAU's capabilities.

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