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Hans Johnson e32d75f876 ENH: Update to TBB 2017 (2016-09-08 release)
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.

------------------------------------------------------------------------
2016-09-28 21:12:48 +02:00

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<li><a href="functions_func.html#index_a"><span>a</span></a></li>
<li><a href="functions_func_0x62.html#index_b"><span>b</span></a></li>
<li class="current"><a href="functions_func_0x63.html#index_c"><span>c</span></a></li>
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<li><a href="functions_func_0x65.html#index_e"><span>e</span></a></li>
<li><a href="functions_func_0x66.html#index_f"><span>f</span></a></li>
<li><a href="functions_func_0x67.html#index_g"><span>g</span></a></li>
<li><a href="functions_func_0x68.html#index_h"><span>h</span></a></li>
<li><a href="functions_func_0x69.html#index_i"><span>i</span></a></li>
<li><a href="functions_func_0x6a.html#index_j"><span>j</span></a></li>
<li><a href="functions_func_0x6c.html#index_l"><span>l</span></a></li>
<li><a href="functions_func_0x6d.html#index_m"><span>m</span></a></li>
<li><a href="functions_func_0x6e.html#index_n"><span>n</span></a></li>
<li><a href="functions_func_0x6f.html#index_o"><span>o</span></a></li>
<li><a href="functions_func_0x70.html#index_p"><span>p</span></a></li>
<li><a href="functions_func_0x71.html#index_q"><span>q</span></a></li>
<li><a href="functions_func_0x72.html#index_r"><span>r</span></a></li>
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<li><a href="functions_func_0x74.html#index_t"><span>t</span></a></li>
<li><a href="functions_func_0x75.html#index_u"><span>u</span></a></li>
<li><a href="functions_func_0x77.html#index_w"><span>w</span></a></li>
<li><a href="functions_func_0x7e.html#index_0x7e"><span>~</span></a></li>
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&#160;
<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
<li>capacity()
: <a class="el" href="a00035.html#a526487063242569685af8c8d778d39e0">tbb::concurrent_bounded_queue&lt; T, A &gt;</a>
, <a class="el" href="a00046.html#a96c2ae9dfedc24d62554feb627df76c3">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>cbegin()
: <a class="el" href="a00046.html#a7a1c5441fa480c07ef37d9206b6260cc">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>cend()
: <a class="el" href="a00046.html#a9ea80faf139feb54d6576c036e4ba898">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>clear()
: <a class="el" href="a00035.html#a246be3920e079ea4847933f106baa98f">tbb::concurrent_bounded_queue&lt; T, A &gt;</a>
, <a class="el" href="a00046.html#a526ba408fb3064ef846940d633b8f365">tbb::concurrent_vector&lt; T, A &gt;</a>
, <a class="el" href="a00036.html#ab8295bc260b5e4df883fef11574b84c6">tbb::interface5::concurrent_hash_map&lt; Key, T, HashCompare, A &gt;</a>
, <a class="el" href="a00056.html#a85a0d8f088ef1ee07aeb2c0e944a4a5e">tbb::interface6::enumerable_thread_specific&lt; T, Allocator, ETS_key_type &gt;</a>
, <a class="el" href="a00097.html#ae53edbda1771eeaa254d78ae6100a762">tbb::pipeline</a>
, <a class="el" href="a00038.html#a2459166998a4103880d603b237c429e6">tbb::interface5::concurrent_priority_queue&lt; T, Compare, A &gt;</a>
, <a class="el" href="a00039.html#ad3384818fb6350a494d5ec62445e59ee">tbb::strict_ppl::concurrent_queue&lt; T, A &gt;</a>
</li>
<li>cols()
: <a class="el" href="a00023.html#af3bccfaf90126b285491096f78ca9473">tbb::blocked_range2d&lt; RowValue, ColValue &gt;</a>
, <a class="el" href="a00024.html#a308d7089a1d53ff26770a7040ed817cd">tbb::blocked_range3d&lt; PageValue, RowValue, ColValue &gt;</a>
</li>
<li>concurrent_bounded_queue()
: <a class="el" href="a00035.html#a228b9d3bf3158a9379748894a93fbe55">tbb::concurrent_bounded_queue&lt; T, A &gt;</a>
</li>
<li>concurrent_hash_map()
: <a class="el" href="a00036.html#aa3a9767b525144a2afb69ed125714c53">tbb::interface5::concurrent_hash_map&lt; Key, T, HashCompare, A &gt;</a>
</li>
<li>concurrent_priority_queue()
: <a class="el" href="a00038.html#a14dd20a4673f77cff3eb6f269a888016">tbb::interface5::concurrent_priority_queue&lt; T, Compare, A &gt;</a>
</li>
<li>concurrent_queue()
: <a class="el" href="a00039.html#a49b2e16902577cd3174355be0fa684e5">tbb::strict_ppl::concurrent_queue&lt; T, A &gt;</a>
</li>
<li>concurrent_unordered_map()
: <a class="el" href="a00040.html#a788a7225915574c1a349abc0f1f653c7">tbb::interface5::concurrent_unordered_map&lt; Key, T, Hasher, Key_equality, Allocator &gt;</a>
</li>
<li>concurrent_unordered_multimap()
: <a class="el" href="a00042.html#a5957d29e5fa9f8c53538de3f7a41ebc9">tbb::interface5::concurrent_unordered_multimap&lt; Key, T, Hasher, Key_equality, Allocator &gt;</a>
</li>
<li>concurrent_unordered_multiset()
: <a class="el" href="a00043.html#a15631f048043195863c66bad6533bccb">tbb::interface5::concurrent_unordered_multiset&lt; Key, Hasher, Key_equality, Allocator &gt;</a>
</li>
<li>concurrent_unordered_set()
: <a class="el" href="a00044.html#a6f6d5ecff239ff13000848e925904fe7">tbb::interface5::concurrent_unordered_set&lt; Key, Hasher, Key_equality, Allocator &gt;</a>
</li>
<li>concurrent_vector()
: <a class="el" href="a00046.html#a5bd95c2241653c760704a92b2c887a48">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>const_accessor()
: <a class="el" href="a00047.html#a7b26d22d228cf0d8678c9b346c63752c">tbb::interface5::concurrent_hash_map&lt; Key, T, HashCompare, A &gt;::const_accessor</a>
</li>
<li>construct()
: <a class="el" href="a00148.html#af54fa3029e33cebe5ba64a8538306fdf">tbb::tbb_allocator&lt; T &gt;</a>
, <a class="el" href="a00072.html#ac51b34ef90ecabdd2e0483e25603a15b">tbb::interface6::memory_pool_allocator&lt; T, P &gt;</a>
, <a class="el" href="a00027.html#ab316f80a66b991801b4ec4ea88b852d9">tbb::cache_aligned_allocator&lt; T &gt;</a>
</li>
<li>continue_receiver()
: <a class="el" href="a00049.html#a1e72842b80f083994dd44bdb53e2284b">tbb::flow::interface9::continue_receiver</a>
</li>
<li>count()
: <a class="el" href="a00036.html#ac375d3884bf9c80efe56117757c822e7">tbb::interface5::concurrent_hash_map&lt; Key, T, HashCompare, A &gt;</a>
</li>
<li>crbegin()
: <a class="el" href="a00046.html#a2627db4a7949522ea4727320b23a6348">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>crend()
: <a class="el" href="a00046.html#ad097225c529dbb24cc0e13a444ab4752">tbb::concurrent_vector&lt; T, A &gt;</a>
</li>
<li>current_thread_index()
: <a class="el" href="a00139.html#af695a8aa3d2a4f498067c662e287dd8f">tbb::interface7::task_arena</a>
</li>
</ul>
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