សៀវភៅណែនាំអ្នកប្រើប្រាស់ សំណួរ និងចម្លើយចម្លើយ
ថ្ងៃទី 30 ខែកញ្ញា ឆ្នាំ 2025 - ម៉ោង 11:18 ព្រឹក
To generate a trace file សម្រាប់របស់អ្នក។ MPI application and analyze it using Intel Trace Analyzer and Collector for performance improvements, follow these steps based on the provided user guide:
1. **Generate a Trace File:**
- Set up the environment by running the setvars script from the oneAPI installation directory.
- Run your MPI application with the -trace option to generate a trace file.
- On Linux: `$ mpirun -trace -n 4 ./poisson_sendrecv.single`
- On Windows with Intel oneAPI DPC++/C++ Compiler: `> mpiicc -trace poisson_sendrecv.single.c`
- On Windows with Intel Fortran Compiler: `> mpiifort -trace poisson_sendrecv.single.f`
2. **Analyze the Trace File:**
- Open the generated .stf file with Intel Trace Analyzer.
- On Linux: `$ traceanalyzer ./poisson_sendrecv.single.stf`
- On Windows: `traceanalyzer poisson_sendrecv.single.stf`
- Explore the Summary Page view for general information about your application's performance.
- Use the Event Timeline view to analyze the most active MPI functions and identify bottlenecks and serialization.
- Utilize the Function Profile និង Message Profile views to identify communication patterns and areas for improvement.
3. **Improve Application Performance:**
- Identify problematic interactions and serialization in your application.
- Consider changing blocking to non-blocking communications (e.g., replace MPI_Sendrecv with MPI_Isend and MPI_Irecv).
- Update your code accordingly and compare the performance impact using the Intel Trace Analyzer Comparison view.
By following these steps and leveraging the analysis features of Intel Trace Analyzer and Collector, you can gain insights into your MPI application's behavior and optimize its performance effectively. For more detailed information and advanced usage, refer to the provided user guide and additional resources mentioned in the documentation.
បន្ថែមមតិយោបល់ថ្មី។