BUILT-IN MATHEMATICA SYMBOL
Parallelize
Parallelize[expr]
evaluates expr using automatic parallelization.
- Parallelize[expr] automatically distributes different parts of the evaluation of expr among different available kernels and processors.
- Parallelize[expr] normally gives the same result as evaluating expr, except for side effects during the computation.
- Parallelize has attribute HoldFirst, so that expressions are not evaluated before parallelization.
- The Method option for Parallelize specifies the parallelization method to use. Possible settings include:
-
| "CoarsestGrained" | break the computation into as many pieces as there are available kernels |
| "FinestGrained" | break the computation into the smallest possible subunits |
| "EvaluationsPerKernel"->e | break the computation into at most e pieces per kernel |
| "ItemsPerEvaluation"->m | break the computation into evaluations of at most m subunits each |
| Automatic | compromise between overhead and load-balancing |
- Method->"CoarsestGrained" is suitable for computations involving many subunits, all of which take the same amount of time. It minimizes overhead, but does not provide any load balancing.
- Method->"FinestGrained" is suitable for computations involving few subunits whose evaluations take different amounts of time. It leads to higher overhead, but maximizes load balancing.
- The DistributedContexts option for Parallelize specifies which symbols appearing in expr have their definitions automatically distributed to all available kernels before the computation.
- The default value is DistributedContexts:>$Context, which distributes definitions of all symbols in the current context, but does not distribute definitions of symbols from packages.
Map a function in parallel:
| Out[1]= |  |
Generate a table in parallel:
| Out[1]= |  |
Functions defined interactively can immediately be used in parallel:
| Out[2]= |  |
New in 7 | Last modified in 8
