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BUILT-IN MATHEMATICA SYMBOL
Sum
Parallelize
ParallelTable
ParallelCombine
See Also »
|
Data Parallelism
Parallel Computing
Summary of New Features in 7.0
New in 7.0: Alphabetical Listing
New in 7.0: Systems Interfaces & Deployment
More About »
ParallelSum
ParallelSum
evaluates in parallel the sum
.
ParallelSum
starts with
.
ParallelSum
uses steps
.
ParallelSum
uses successive values
,
, .....
ParallelSum
evaluates in parallel the multiple sum
.
MORE INFORMATION
ParallelSum
is a parallel version of
Sum
, which automatically distributes partial summations among different kernels and processors.
ParallelSum
will give the same results as
Sum
, except for side effects during the computation.
Parallelize
[
Sum
[
expr
,
iter
,
...
]]
is equivalent to
ParallelSum
.
If an instance of
ParallelSum
cannot be parallelized it is evaluated using
Sum
.
ParallelSum
takes the same
Method
option as
Parallelize
.
ParallelSum
takes the same
DistributedContexts
option as
ParallelTable
.
EXAMPLES
CLOSE ALL
Basic Examples
(1)
In[1]:=
Out[1]=
In[2]:=
Out[2]=
Options
(7)
Calculations with vastly differing runtimes should be parallelized as finely as possible:
A large number of simple calculations should be distributed into as few batches as possible:
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:
Possible Issues
(2)
Sums with trivial terms may be slower in parallel than sequentially:
Splitting the computation into as few pieces as possible decreases the parallel overhead:
Sum
may employ symbolic methods that are faster than an iterative addition of all terms:
SEE ALSO
Sum
Parallelize
ParallelTable
ParallelCombine
MORE ABOUT
Data Parallelism
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 | Last modified in 8