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Hans Johnson
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.
------------------------------------------------------------------------
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<title>Intel® Threading Building Blocks. Cholesky sample</title>
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<h1 class="title">Intel® Threading Building Blocks.<br>Cholesky sample</h1>
</div>
<p>
This directory contains an example of several versions of Cholesky Factorization algorithm.
<br>
<br><b>dpotrf</b>: An implementation that calls the Intel® Math Kernel Library (Intel® MKL) dpotrf function to directly perform the factorization. This can be a serial implementation or threaded implementation depending on the version of the Intel MKL library that is linked against.
<br>
<br><b>crout</b>: A serial implementation that uses the Crout-Cholesky algorithm for factorization. The same approach is parallelized for the other Intel® Threading Building Blocks (Intel® TBB) based approaches below.
<br>
<br><b>depend</b>: A parallel version of Crout-Cholesky factorization that uses an Intel TBB flow graph. This version uses a dependence graph made solely of continue_node objects. This an inspector-executor approach, where a loop nest that is similar to the serial implementation is used to create an unrolled version of the computation. Where the Intel MKL calls would have been made in the original serial implementation of Crout-Cholesky, instead nodes are created and these nodes are linked by edges to the other nodes that they are dependent upon. The resulting graph is relatively large, with a node for each instance of each Intel MKL call. For example, there are many nodes that call dtrsm; one for each invocation of dtrsm in the serial implementation. The is very little overhead in message management for this version and so it is often the highest performing.
<br>
<br><b>join</b>: A parallel version of Crout-Cholesky factorization that uses an Intel TBB flow graph. This version uses a data flow approach. This is a small, compact graph that passes tiles along its edges. There is one node per type of Intel MKL call, plus join_nodes that combine the inputs required for each call. So for example, there is only a single node that applies all calls to dtrsm. This node is invoked when the tiles that hold the inputs and outputs for an invocation are matched together in the tag-matching join_node that precedes it. The tag represents the iteration values of the i, j, k loops in the serial implementation at that invocation of the call. There is some overhead in message matching and forwarding, so it may not perform as well as the dependence graph implementation.
<br>
<br>This sample code requires a recent Intel TBB library (one that supports the flow graph). And also the Intel MKL library.
</p>
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<div class="h3-alike">System Requirements</div>
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For the most up to date system requirements, see the <a href="http://software.intel.com/en-us/articles/intel-threading-building-blocks-release-notes">release notes.</a>
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<dl>
<dt><a href="cholesky.cpp">cholesky.cpp</a>
<dd>Source code for example.
<dt><a href="init.cpp">init.cpp</a>
<dd>Source code for example.
<dt><a href="Makefile">Makefile</a>
<dd>Makefile for building the example.
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<dt><a href="msvs/">msvs</a>
<dd>Contains Microsoft* Visual Studio* workspace for building and running the example (Windows* systems only).
<dt><a href="xcode/">xcode</a>
<dd>Contains Xcode* IDE workspace for building and running the example (OS X* systems only).
</dl>
<p>For information about the minimum supported version of IDE, see <a href="http://software.intel.com/en-us/articles/intel-threading-building-blocks-release-notes">release notes.</a></p>
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<dt><tt>cholesky [<i>size=value</i>] [<i>blocksize=value</i>] [<i>num_trials=value</i>] [<i>output_prefix=value</i>] [<i>algorithm=value</i>] [<i>num_tbb_threads=value</i>] [<i>input_file=value</i>] [<i>-x</i>] [<i>-h</i>] [<i>size</i> [<i>blocksize</i> [<i>num_trials</i> [<i>output_prefix</i> [<i>algorithm</i> [<i>num_tbb_threads</i>]]]]]]</tt>
<dd>where:
<br><tt><i>size</i></tt> - the row/column size of NxN matrix (size <= 46000)
<br><tt><i>blocksize</i></tt> - the block size; size must be a multiple of the blocksize
<br><tt><i>num_trials</i></tt> - the number of times to run each algorithm
<br><tt><i>output_prefix</i></tt> - if provided the prefix will be preappended to output files:
<i>output_prefix_posdef.txt</i> and
<i>output_prefix_X.txt</i>; where <i>X</i> is the algorithm used
<br>if <tt><i>output_prefix</i></tt> is not provided, no output will be written
<br><tt><i>algorithm</i></tt> - name of the used algorithm - can be dpotrf, crout, depend or join
<br><tt><i>num_tbb_threads</i></tt> - number of started TBB threads
<br><tt><i>input_file</i></tt> - if provided it will be read to get the input matrix
<br><tt><i>-x</i></tt> - skips all validation
<br><tt><i>-h</i></tt> - show this message
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