Parallel Profiler and Code Improvement

Locate problematic areas in parallel code; work around common errors

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.

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Profiling Explicit Parallel Communication

Profile explicit communication to the nearest neighbor lab. It illustrates the use of labSend, labReceive, and labSendReceive, 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.

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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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