Add documentation, more tests, pure mode, fixed some bugs

Cython/Compiler/Code.py

@@ -1447,7 +1447,7 @@ class CCodeWriter(object):
     def putln_openmp(self, string):
         self.putln("#ifdef _OPENMP")
         self.putln(string)
-        self.putln("#endif")
+        self.putln("#endif /* _OPENMP */")
 
 class PyrexCodeWriter(object):
     # f                file      output file

Cython/Compiler/ExprNodes.py

@@ -2076,7 +2076,7 @@ class ParallelThreadsAvailableNode(AtomicExprNode):
 
     def analyse_types(self, env):
         self.is_temp = True
-        env.add_include_file("omp.h")
+        # env.add_include_file("omp.h")
         return self.type
 
     def generate_result_code(self, code):
@@ -2101,7 +2101,7 @@ class ParallelThreadIdNode(AtomicExprNode): #, Nodes.ParallelNode):
 
     def analyse_types(self, env):
         self.is_temp = True
-        env.add_include_file("omp.h")
+        # env.add_include_file("omp.h")
         return self.type
 
     def generate_result_code(self, code):

Cython/Compiler/ModuleNode.py

@@ -756,6 +756,8 @@ class ModuleNode(Nodes.Node, Nodes.BlockNode):
             else:
                 code.putln('#include "%s"' % byte_decoded_filenname)
 
+        code.putln_openmp("#include <omp.h>")
+
     def generate_filename_table(self, code):
         code.putln("")
         code.putln("static const char *%s[] = {" % Naming.filetable_cname)

Cython/Compiler/Nodes.py

@@ -5842,7 +5842,7 @@ class ParallelStatNode(StatNode, ParallelNode):
 
 class ParallelWithBlockNode(ParallelStatNode):
     """
-    This node represents a 'with cython.parallel:' block
+    This node represents a 'with cython.parallel.parallel:' block
     """
 
     nogil_check = None
@@ -5883,6 +5883,7 @@ class ParallelRangeNode(ParallelStatNode):
     start = stop = step = None
 
     is_prange = True
+    is_nogil = False
 
     def analyse_declarations(self, env):
         super(ParallelRangeNode, self).analyse_declarations(env)
@@ -5918,13 +5919,16 @@ class ParallelRangeNode(ParallelStatNode):
             error(self.pos, "Invalid keyword argument to prange: %s" % kw)
 
     def analyse_expressions(self, env):
-        self.target.analyse_target_types(env)
+        if self.target is None:
+            error(self.pos, "prange() can only be used as part of a for loop")
+            return
 
+        self.target.analyse_target_types(env)
         self.index_type = self.target.type
 
         if self.index_type.is_pyobject:
-            # nogil_check will catch this
-            return
+            # nogil_check will catch this, for now, assume a valid type
+            self.index_type = PyrexTypes.c_py_ssize_t_type
 
         # Setup start, stop and step, allocating temps if needed
         self.names = 'start', 'stop', 'step'
@@ -6039,9 +6043,8 @@ class ParallelRangeNode(ParallelStatNode):
                       "(%(start)s > %(stop)s && %(step)s < 0) ) " % fmt_dict)
         code.begin_block()
 
-        # code.putln_openmp("#pragma omp single")
+        code.putln_openmp("#pragma omp critical")
         code.putln("%(nsteps)s = (%(stop)s - %(start)s) / %(step)s;" % fmt_dict)
-        # code.putln_openmp("#pragma omp barrier")
 
         self.generate_loop(code, fmt_dict)
 
@@ -6081,7 +6084,10 @@ class ParallelRangeNode(ParallelStatNode):
         if self.schedule:
             code.put(" schedule(%s)" % self.schedule)
 
+        if self.is_parallel or self.target.entry not in self.parent.assignments:
             code.putln(" lastprivate(%s)" % target_index_cname)
+        else:
+            code.putln("")
 
         code.putln("#endif")
 

Cython/Compiler/ParseTreeTransforms.py

@@ -669,8 +669,12 @@ class InterpretCompilerDirectives(CythonTransform, SkipDeclarations):
 
         if result:
             directive = full_name.rsplit('.', 1)
-            if (len(directive) != 2 or directive[1] not in
-                    self.valid_parallel_directives):
+            if len(directive) == 2 and directive[1] == '*':
+                # star import
+                for name in self.valid_parallel_directives:
+                    self.parallel_directives[name] = u"cython.parallel.%s" % name
+            elif (len(directive) != 2 or
+                  directive[1] not in self.valid_parallel_directives):
                 error(pos, "No such directive: %s" % full_name)
 
         return result
@@ -682,7 +686,7 @@ class InterpretCompilerDirectives(CythonTransform, SkipDeclarations):
             if node.module_name.startswith(u"cython.parallel."):
                 error(node.pos, node.module_name + " is not a module")
             if node.module_name == u"cython.parallel":
-                if node.as_name:
+                if node.as_name and node.as_name != u"cython":
                     self.parallel_directives[node.as_name] = node.module_name
                 else:
                     self.cython_module_names.add(u"cython")
@@ -748,28 +752,23 @@ class InterpretCompilerDirectives(CythonTransform, SkipDeclarations):
         return node
 
     def visit_SingleAssignmentNode(self, node):
-        if (isinstance(node.rhs, ExprNodes.ImportNode) and
-            node.rhs.module_name.value in (u'cython', u"cython.parallel")):
+        if isinstance(node.rhs, ExprNodes.ImportNode):
+            module_name = node.rhs.module_name.value
+            is_parallel = (module_name + u".").startswith(u"cython.parallel.")
+
+            if module_name != u"cython" and not is_parallel:
+                return node
 
             module_name = node.rhs.module_name.value
             as_name = node.lhs.name
 
-            if module_name == u"cython.parallel" and as_name == u"cython":
-                # Be consistent with the cimport variant
-                as_name = u"cython.parallel"
-
             node = Nodes.CImportStatNode(node.pos,
                                          module_name = module_name,
                                          as_name = as_name)
-
-            self.visit_CImportStatNode(node)
-            if node.module_name == u"cython.parallel":
-                # This is an import for a fake module, remove it
-                return None
-            if node.module_name.startswith(u"cython.parallel."):
-                error(node.pos, node.module_name + " is not a module")
+            node = self.visit_CImportStatNode(node)
         else:
             self.visitchildren(node)
+
         return node
 
     def visit_NameNode(self, node):
@@ -1041,7 +1040,7 @@ class ParallelRangeTransform(CythonTransform, SkipDeclarations):
         return node
 
     def visit_CallNode(self, node):
-        self.visitchildren(node)
+        self.visit(node.function)
         if not self.parallel_directive:
             return node
 

Cython/Shadow.py

@@ -277,3 +277,28 @@ for t in int_types + float_types + complex_types + other_types:
 
 void = typedef(None)
 NULL = p_void(0)
+
+class CythonDotParallel(object):
+    """
+    The cython.parallel module.
+    """
+
+    __all__ = ['parallel', 'prange', 'threadid']
+
+    parallel = nogil
+
+    def prange(self, start=0, stop=None, step=1, schedule=None, nogil=False):
+        if stop is None:
+            stop = start
+            start = 0
+        return range(start, stop, step)
+
+    def threadid(self):
+        return 0
+
+    # def threadsavailable(self):
+        # return 1
+
+import sys
+sys.modules['cython.parallel'] = CythonDotParallel()
+del sys
\ No newline at end of file

docs/src/userguide/index.rst

@@ -18,6 +18,7 @@ Contents:
    limitations
    pyrex_differences
    early_binding_for_speed
+   parallelism
    debugging
 
 Indices and tables

docs/src/userguide/parallelism.rst

+.. highlight:: cython
+
+.. py:module:: cython.parallel
+
+**********************************
+Using Parallelism
+**********************************
+
+Cython supports native parallelism through the :py:mod:`cython.parallel`
+module. To use this kind of parallelism, the GIL must be released. It
+currently supports OpenMP, but later on more backends might be supported.
+
+.. function:: prange([start,] stop[, step], nogil=False, schedule=None)
+
+    This function can be used for parallel loops. OpenMP automatically
+    starts a thread pool and distributes the work according to the schedule
+    used. ``step`` must not be 0. This function can only be used with the
+    GIL released. If ``nogil`` is true, the loop will be wrapped in a nogil
+    section.
+
+    Thread-locality and reductions are automatically inferred for variables.
+
+    If you assign to a variable, it becomes lastprivate, meaning that the
+    variable will contain the value from the last iteration. If you use an
+    inplace operator on a variable, it becomes a reduction, meaning that the
+    values from the thread-local copies of the variable will be reduced with
+    the operator and assigned to the original variable after the loop. The
+    index variable is always lastprivate.
+
+    The ``schedule`` is passed to OpenMP and can be one of the following:
+
+    +-----------------+------------------------------------------------------+
+    | Schedule        | Description                                          |
+    +=================+======================================================+
+    |static           | The iteration space is divided into chunks that are  |
+    |                 | approximately equal in size, and at most one chunk   |
+    |                 | is distributed to each thread.                       |
+    +-----------------+------------------------------------------------------+
+    |dynamic          | The iterations are distributed to threads in the team|
+    |                 | as the threads request them, with a chunk size of 1. |
+    +-----------------+------------------------------------------------------+
+    |guided           | The iterations are distributed to threads in the team|
+    |                 | as the threads request them. The size of each chunk  |
+    |                 | is proportional to the number of unassigned          |
+    |                 | iterations divided by the number of threads in the   |
+    |                 | team, decreasing to 1.                               |
+    +-----------------+------------------------------------------------------+
+    |auto             | The decision regarding scheduling is delegated to the|
+    |                 | compiler and/or runtime system. The programmer gives |
+    |                 | the implementation the freedom to choose any possible|
+    |                 | mapping of iterations to threads in the team.        |
+    +-----------------+------------------------------------------------------+
+    |runtime          | The schedule and chunk size are taken from the       |
+    |                 | runtime-scheduling-variable, which can be set through|
+    |                 | the ``omp_set_schedule`` function call, or the       |
+    |                 | ``OMP_SCHEDULE`` environment variable.               |
+    +-----------------+------------------------------------------------------+
+
+    The default schedule is implementation defined. For more information consult
+    the OpenMP specification: [#]_.
+
+    Example with a reduction::
+
+        from cython.parallel import prange, parallel, threadid
+
+        cdef int i
+        cdef int sum = 0
+
+        for i in prange(n, nogil=True):
+            sum += i
+
+        print sum
+
+    Example with a shared numpy array::
+
+        from cython.parallel import *
+
+        def func(np.ndarray[double] x, double alpha):
+            cdef Py_ssize_t i
+
+            for i in prange(x.shape[0]):
+                x[i] = alpha * x[i]
+
+.. function:: parallel
+
+    This directive can be used as part of a ``with`` statement to execute code
+    sequences in parallel. This is currently useful to setup thread-local
+    buffers used by a prange. A contained prange will be a worksharing loop
+    that is not parallel, so any variable assigned to in the parallel section
+    is also private to the prange. Variables that are private in the parallel
+    construct are undefined after the parallel block.
+
+    Example with thread-local buffers::
+
+        from cython.parallel import *
+        from cython.stdlib cimport abort
+
+        cdef Py_ssize_t i, n = 100
+        cdef int * local_buf
+        cdef size_t size = 10
+
+        with nogil, parallel:
+            local_buf = malloc(sizeof(int) * size)
+            if local_buf == NULL:
+                abort()
+
+            # populate our local buffer in a sequential loop
+            for i in range(size):
+                local_buf[i] = i * 2
+
+            # share the work using the thread-local buffer(s)
+            for i in prange(n, schedule='guided'):
+                func(local_buf)
+
+            free(local_buf)
+
+    Later on sections might be supported in parallel blocks, to distribute
+    code sections of work among threads.
+
+.. function:: threadid()
+
+    Returns the id of the thread. For n threads, the ids will range from 0 to
+    n.
+
+Compiling
+=========
+To actually use the OpenMP support, you need to tell the C or C++ compiler to
+enable OpenMP. For gcc this can be done as follows in a setup.py::
+
+    from distutils.core import setup
+    from distutils.extension import Extension
+    from Cython.Distutils import build_ext
+
+    ext_module = Extension(
+        "hello",
+        ["hello.pyx"],
+        extra_compile_args=['-fopenmp'],
+        libraries=['gomp'],
+    )
+
+    setup(
+        name = 'Hello world app',
+        cmdclass = {'build_ext': build_ext},
+        ext_modules = [ext_module],
+    )
+
+.. rubric:: References
+
+.. [#] http://www.openmp.org/mp-documents/spec30.pdf

tests/errors/e_cython_parallel.pyx

+# mode: error
+
+cimport cython.parallel.parallel as p
+from cython.parallel cimport something
+
+import cython.parallel.parallel as p
+from cython.parallel import something
+
+from cython.parallel cimport prange
+
+import cython.parallel
+
+prange(1, 2, 3, schedule='dynamic')
+
+cdef int i
+
+with nogil, cython.parallel.parallel:
+    for i in prange(10, schedule='invalid_schedule'):
+        pass
+
+with cython.parallel.parallel:
+    print "hello world!"
+
+cdef int *x = NULL
+
+with nogil, cython.parallel.parallel:
+    for j in prange(10):
+        pass
+
+    for x[1] in prange(10):
+        pass
+
+_ERRORS = u"""
+e_cython_parallel.pyx:3:8: cython.parallel.parallel is not a module
+e_cython_parallel.pyx:4:0: No such directive: cython.parallel.something
+e_cython_parallel.pyx:6:7: cython.parallel.parallel is not a module
+e_cython_parallel.pyx:7:0: No such directive: cython.parallel.something
+e_cython_parallel.pyx:13:6: prange() can only be used as part of a for loop
+e_cython_parallel.pyx:13:6: prange() can only be used without the GIL
+e_cython_parallel.pyx:18:19: Invalid schedule argument to prange: 'invalid_schedule'
+e_cython_parallel.pyx:21:5: The parallel section may only be used without the GIL
+e_cython_parallel.pyx:27:10: target may not be a Python object as we don't have the GIL
+e_cython_parallel.pyx:30:9: Can only iterate over an iteration variable
+"""

tests/run/parallel.pyx

@@ -5,14 +5,10 @@
 cimport cython.parallel
 from cython.parallel import prange, threadid
 from libc.stdlib cimport malloc, free
+from libc.stdio cimport puts
+cimport numpy as np
 
-cdef extern from "Python.h":
-    void PyEval_InitThreads()
-
-PyEval_InitThreads()
-
-cdef void print_int(int x) with gil:
-    print x
+import sys
 
 #@cython.test_assert_path_exists(
 #    "//ParallelWithBlockNode//ParallelRangeNode[@schedule = 'dynamic']",
@@ -173,3 +169,64 @@ def test_closure_parallel_privates():
     g = test_generator()
     print g.next(), x, g.next(), x
 
+def test_pure_mode():
+    """
+    >>> test_pure_mode()
+    0
+    1
+    2
+    3
+    4
+    4
+    3
+    2
+    1
+    0
+    0
+    """
+    import Cython.Shadow
+    pure_parallel = sys.modules['cython.parallel']
+
+    for i in pure_parallel.prange(5):
+        print i
+
+    for i in pure_parallel.prange(4, -1, -1, schedule='dynamic', nogil=True):
+        print i
+
+    with pure_parallel.parallel:
+        print pure_parallel.threadid()
+
+@cython.boundscheck(False)
+def test_parallel_numpy_arrays():
+    """
+    Disabled for now, need to handle buffer auxiliary variables.
+
+    test_parallel_numpy_arrays()
+    -5
+    -4
+    -3
+    -2
+    -1
+    0
+    1
+    2
+    3
+    4
+    """
+    cdef Py_ssize_t i
+    cdef np.ndarray[np.int_t] x
+    
+    try:
+        import numpy
+    except ImportError:
+        for i in range(-5, 5):
+            print i
+        return
+    
+    x = numpy.zeros(10, dtype=np.int)
+    
+    for i in prange(x.shape[0], nogil=True):
+        x[i] = i - 5
+    
+    for i in x:
+        print x