Parallel Profiler and Code Improvement
Functions
mpiprofile | Profile parallel communication and execution times |
Examples and How To
- Profiling Parallel Code
Use the parallel profile to determine the calculation and communications time for each worker.
- Job Monitor
Manage your jobs using the Job Monitor.
Concepts
- Troubleshooting and Debugging
Describes common programming errors and how to avoid them.
Featured Examples
Profile Parallel Code
Profile parallel code using the parallel profiler on workers in a parallel pool.
Profiling Explicit Parallel Communication
Profile explicit communication to the nearest neighbor worker. It illustrates the use of spmdSend, spmdReceive, and spmdSendReceive, showing both the slow (incorrect) and the fast (optimal) way of implementing this algorithm. The problem is explored using the parallel profiler. For getting started with parallel profiling, see Profiling Parallel Code.
Profiling Load Unbalanced Codistributed Arrays
Profile the implicit communication that occurs when using an unevenly distributed array. For getting started with parallel profiling, see Profiling Parallel Code.
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