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nexedi
cython
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0d222d93
Commit
0d222d93
authored
Jun 20, 2018
by
scoder
Committed by
GitHub
Jun 20, 2018
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Merge pull request #2370 from gabrieldemarmiesse/test_parallelism_1
Added tests to "Using Parallelism" part 1
parents
1a8ee2f9
43924a98
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docs/examples/userguide/parallelism/simple_sum.pyx
docs/examples/userguide/parallelism/simple_sum.pyx
+10
-0
docs/src/userguide/parallelism.rst
docs/src/userguide/parallelism.rst
+6
-14
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docs/examples/userguide/parallelism/simple_sum.pyx
0 → 100644
View file @
0d222d93
from
cython.parallel
import
prange
cdef
int
i
cdef
int
n
=
30
cdef
int
sum
=
0
for
i
in
prange
(
n
,
nogil
=
True
):
sum
+=
i
print
(
sum
)
docs/src/userguide/parallelism.rst
View file @
0d222d93
...
@@ -79,10 +79,10 @@ It currently supports OpenMP, but later on more backends might be supported.
...
@@ -79,10 +79,10 @@ It currently supports OpenMP, but later on more backends might be supported.
performance than when the same scheduling policy is statically
performance than when the same scheduling policy is statically
configured at compile time.
configured at compile time.
.. auto The decision regarding scheduling is delegated to the
.. auto The decision regarding scheduling is delegated to the
.. compiler and/or runtime system. The programmer gives
.. compiler and/or runtime system. The programmer gives
.. the implementation the freedom to choose any possible
.. the implementation the freedom to choose any possible
.. mapping of iterations to threads in the team.
.. mapping of iterations to threads in the team.
The default schedule is implementation defined. For more information consult
The default schedule is implementation defined. For more information consult
the OpenMP specification [#]_.
the OpenMP specification [#]_.
...
@@ -97,17 +97,9 @@ It currently supports OpenMP, but later on more backends might be supported.
...
@@ -97,17 +97,9 @@ It currently supports OpenMP, but later on more backends might be supported.
may give substantially different performance results, depending on the schedule, the load balance it provides,
may give substantially different performance results, depending on the schedule, the load balance it provides,
the scheduling overhead and the amount of false sharing (if any).
the scheduling overhead and the amount of false sharing (if any).
Example with a reduction:
:
Example with a reduction:
from cython.parallel import prange
.. literalinclude:: ../../examples/userguide/parallelism/simple_sum.pyx
cdef int i
cdef int sum = 0
for i in prange(n, nogil=True):
sum += i
print sum
Example with a typed memoryview (e.g. a NumPy array)::
Example with a typed memoryview (e.g. a NumPy array)::
...
...
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