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WaitAll
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BUILT-IN MATHEMATICA SYMBOL
ParallelSubmit
WaitNext
ParallelTry
See Also »
|
Concurrency
Parallel Computing
Summary of New Features in 7.0
New in 7.0: Alphabetical Listing
New in 7.0: Systems Interfaces & Deployment
More About »
WaitAll
WaitAll
[
expr
]
waits for all concurrent evaluations represented by
EvaluationObject
expressions in
expr
to finish, then returns the resulting expression obtained.
MORE INFORMATION
EvaluationObject
expressions are created with
ParallelSubmit
.
EXAMPLES
CLOSE ALL
Basic Examples
(4)
Wait for a single evaluation:
Waiting evaluations are scheduled concurrently on any available parallel kernel:
Wait for all evaluations contained in a sum:
Functions used need to be distributed first:
Wait for a single evaluation:
In[1]:=
Out[1]=
In[2]:=
Out[2]=
Waiting evaluations are scheduled concurrently on any available parallel kernel:
In[1]:=
In[2]:=
Out[2]=
Wait for all evaluations contained in a sum:
In[1]:=
Out[1]=
In[2]:=
Out[2]=
Functions used need to be distributed first:
In[1]:=
In[2]:=
Out[2]=
In[3]:=
Out[3]=
Scope
(4)
Wait for a single evaluation:
Wait for a number of evaluations in a list:
Wait for evaluations contained in an arbitrarily nested structure:
Wait for evaluations contained in an arbitrary arithmetic expression:
Applications
(4)
Run a search for a random prime on each parallel kernel:
Watch the scheduling of the evaluations while they are running:
Write a command that evaluates the arguments of a list in parallel:
Watch the scheduling of evaluations taking vastly varying amounts of time:
Find
such that
is prime, scheduling one search loop for each kernel:
Run them until manually aborted:
Properties & Relations
(4)
Evaluate an expression on any parallel kernel:
ParallelEvaluate
does the same:
The
Method
setting schedules each item as a single evaluation:
Internally it works similarly to
WaitAll
[
ParallelSubmit
[
...
]]
:
Parallelize at the innermost level of a multidimensional table:
Scheduled evaluations no longer needed can be aborted with
AbortKernels
:
Define a number of tasks with varying runtimes:
Measure the time for parallel execution:
Scheduling larger tasks first improves load balancing:
Possible Issues
(2)
Each evaluation should be waited for exactly once:
The evaluation object has already been completed:
There is a considerable overhead for scheduling trivial calculations:
The overhead is smaller for generating fewer, but larger, evaluation units:
A sequential evaluation avoids all communication overhead:
SEE ALSO
ParallelSubmit
WaitNext
ParallelTry
MORE ABOUT
Concurrency
Parallel Computing
Summary of New Features in 7.0
New in 7.0: Alphabetical Listing
New in 7.0: Systems Interfaces & Deployment
New in 7