ParallelTry

Return the first two successful results:

If no successful results are found, ParallelTry returns $Failed:

By default, definitions in the current context are distributed automatically:

Do not distribute any definitions of functions:

Distribute definitions for all symbols in all contexts appearing in a parallel computation:

Distribute only definitions in the given contexts:

Restore the value of the DistributedContexts option to its default:

Find a random prime in parallel:

Find an irreducible polynomial with a random search on each parallel kernel:

Search for a Mersenne prime starting at a given prime exponent:

Try different methods for minimization and return the first one that succeeds:

Try different symbolic methods of summation and return the first one to succeed:

In this case only one method succeeded:

ParallelTry generally returns the first successful result received:

ParallelTry works like ParallelMap, but returns only one of the results:

ParallelTry is essentially implemented in terms of WaitNext:

Functions defined interactively are automatically distributed to all kernels when needed:

Distribute definitions manually and disable automatic distribution:

For functions from a package, use ParallelNeeds rather than DistributeDefinitions:

If there are more expressions than kernels, some will never be tried:

A function used that is not known on the parallel kernels may lead to sequential evaluation:

Define the function on all parallel kernels:

The function is now evaluated on the parallel kernels:

Definitions of functions in the current context are distributed automatically:

Definitions from contexts other than the default context are not distributed automatically:

Use DistributeDefinitions to distribute such definitions:

Alternatively, set the DistributedContexts option to include all contexts: