mirror of
https://github.com/wjakob/tbb.git
synced 2026-08-30 00:50:40 +08:00
e32d75f876
The new release TBB is now under a new more
open license.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
The list of most significant changes made over time in
Intel(R) Threading Building Blocks (Intel(R) TBB).
Intel TBB 2017
TBB_INTERFACE_VERSION == 9100
Changes (w.r.t. Intel TBB 4.4 Update 5):
- static_partitioner class is now a fully supported feature.
- async_node class is now a fully supported feature.
- Improved dynamic memory allocation replacement on Windows* OS to skip
DLLs for which replacement cannot be done, instead of aborting.
- Intel TBB no longer performs dynamic memory allocation replacement
for Microsoft* Visual Studio* 2008.
- For 64-bit platforms, quadrupled the worst-case limit on the amount
of memory the Intel TBB allocator can handle.
- Added TBB_USE_GLIBCXX_VERSION macro to specify the version of GNU
libstdc++ when it cannot be properly recognized, e.g. when used
with Clang on Linux* OS. Inspired by a contribution from David A.
- Added graph/stereo example to demostrate tbb::flow::async_msg.
- Removed a few cases of excessive user data copying in the flow graph.
- Reworked split_node to eliminate unnecessary overheads.
- Added support for C++11 move semantics to the argument of
tbb::parallel_do_feeder::add() method.
- Added C++11 move constructor and assignment operator to
tbb::combinable template class.
- Added tbb::this_task_arena::max_concurrency() function and
max_concurrency() method of class task_arena returning the maximal
number of threads that can work inside an arena.
- Deprecated tbb::task_arena::current_thread_index() static method;
use tbb::this_task_arena::current_thread_index() function instead.
- All examples for commercial version of library moved online:
https://software.intel.com/en-us/product-code-samples. Examples are
available as a standalone package or as a part of Intel(R) Parallel
Studio XE or Intel(R) System Studio Online Samples packages.
Changes affecting backward compatibility:
- Renamed following methods and types in async_node class:
Old New
async_gateway_type => gateway_type
async_gateway() => gateway()
async_try_put() => try_put()
async_reserve() => reserve_wait()
async_commit() => release_wait()
- Internal layout of some flow graph nodes has changed; recompilation
is recommended for all binaries that use the flow graph.
Preview Features:
- Added template class streaming_node to the flow graph API. It allows
a flow graph to offload computations to other devices through
streaming or offloading APIs.
- Template class opencl_node reimplemented as a specialization of
streaming_node that works with OpenCL*.
- Added tbb::this_task_arena::isolate() function to isolate execution
of a group of tasks or an algorithm from other tasks submitted
to the scheduler.
Bugs fixed:
- Added a workaround for GCC bug #62258 in std::rethrow_exception()
to prevent possible problems in case of exception propagation.
- Fixed parallel_scan to provide correct result if the initial value
of an accumulator is not the operation identity value.
- Fixed a memory corruption in the memory allocator when it meets
internal limits.
- Fixed the memory allocator on 64-bit platforms to align memory
to 16 bytes by default for all allocations bigger than 8 bytes.
- As a workaround for crashes in the Intel TBB library compiled with
GCC 6, added -flifetime-dse=1 to compilation options on Linux* OS.
- Fixed a race in the flow graph implementation.
Open-source contributions integrated:
- Enabling use of C++11 'override' keyword by Raf Schietekat.
------------------------------------------------------------------------
147 lines
4.9 KiB
OpenEdge ABL
147 lines
4.9 KiB
OpenEdge ABL
%pythonbegin %{
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#
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# Copyright (c) 2005-2016 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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#
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#
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#
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# Based on the software developed by:
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# Copyright (c) 2008,2016 david decotigny (Pool of threads)
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# Copyright (c) 2006-2008, R Oudkerk (multiprocessing.Pool)
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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#
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# 1. Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# 3. Neither the name of author nor the names of any contributors may be
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# used to endorse or promote products derived from this software
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# without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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# SUCH DAMAGE.
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#
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from __future__ import print_function
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%}
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%begin %{
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/* Defines Python wrappers for Intel(R) Threading Building Blocks (Intel TBB).*/
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%}
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%module TBB
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#if SWIG_VERSION < 0x030001
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#error SWIG version 3.0.6 or newer is required for correct functioning
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#endif
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%{
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#include <tbb/tbb.h>
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using namespace tbb;
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class PyCaller : public swig::SwigPtr_PyObject {
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public:
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// icpc 2013 does not support simple using SwigPtr_PyObject::SwigPtr_PyObject;
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PyCaller(const PyCaller& s) : SwigPtr_PyObject(s) {}
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PyCaller(PyObject *p, bool initial = true) : SwigPtr_PyObject(p, initial) {}
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void operator()() const {
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SWIG_PYTHON_THREAD_BEGIN_BLOCK;
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PyObject* r = PyObject_CallFunctionObjArgs((PyObject*)*this, NULL);
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if(r) Py_DECREF(r);
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SWIG_PYTHON_THREAD_END_BLOCK;
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}
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};
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struct ArenaPyCaller {
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task_arena *my_arena;
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PyObject *my_callable;
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ArenaPyCaller(task_arena *a, PyObject *c) : my_arena(a), my_callable(c) {
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SWIG_PYTHON_THREAD_BEGIN_BLOCK;
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Py_XINCREF(c);
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SWIG_PYTHON_THREAD_END_BLOCK;
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}
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void operator()() const {
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my_arena->execute(PyCaller(my_callable, false));
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}
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};
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%}
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namespace tbb {
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class task_scheduler_init {
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public:
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//! Typedef for number of threads that is automatic.
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static const int automatic = -1;
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//! Argument to initialize() or constructor that causes initialization to be deferred.
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static const int deferred = -2;
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task_scheduler_init( int max_threads=automatic,
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size_t thread_stack_size=0 );
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~task_scheduler_init();
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void initialize( int max_threads=automatic );
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void terminate();
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static int default_num_threads();
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bool is_active() const;
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};
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class task_arena {
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public:
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static const int automatic = -1;
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static int current_thread_index();
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task_arena(int max_concurrency = automatic, unsigned reserved_for_masters = 1);
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task_arena(const task_arena &s);
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~task_arena();
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void initialize();
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void initialize(int max_concurrency, unsigned reserved_for_masters = 1);
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void terminate();
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bool is_active();
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%extend {
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void enqueue( PyObject *c ) { $self->enqueue(PyCaller(c)); }
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void execute( PyObject *c ) { $self->execute(PyCaller(c)); }
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};
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};
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class task_group {
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public:
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task_group();
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~task_group();
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void wait();
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bool is_canceling();
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void cancel();
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%extend {
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void run( PyObject *c ) { $self->run(PyCaller(c)); }
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void run( PyObject *c, task_arena *a ) { $self->run(ArenaPyCaller(a, c)); }
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};
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};
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}
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// Python part of the module
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%pythoncode "tbb.src.py"
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