Software Open Access
bshoshany/thread-pool: thread-pool v2.0.0
Barak Shoshany
- v2.0.0 (2021-08-14)
- From now on, version numbers will adhere to the Semantic Versioning specification in the format major.minor.patch.
- A file named
thread_pool_test.cpphas been added to the package. It will perform automated tests of all aspects of the package, and benchmark some multithreaded matrix operations. Please run it on your system and submit a bug report if any of the tests fail. In addition, the code is thoroughly documented, and is meant to serve as an extensive example of how to properly use the package. - The package is now available through vcpkg. Instructions for how to install it have been added to
README.md. See this pull request. - The package now defines a macro
THREAD_POOL_VERSION, which returns the version number and release date of the thread pool library as a string. parallelize_loop()has undergone some major changes (and is now incompatible with v1.x):- The second argument is now the index after the last index, instead of the last index itself. This is more consistent with C++ conventions (e.g. standard library algorithms) where the range is always
[first, last). For example, for an array withnindices, instead ofparallelize_loop(0, n - 1, ...)you should now writeparallelize_loop(0, n, ...). - The
loopfunction is now only called once per block, instead of once per index, as was the case before. This should provide a performance boost due to significantly reducing the number of function calls, and it also allows you to conserve resources by using them only once per block instead of once per index (an example can be found in therandom_matrix_generatorclass inthread_pool_test.cpp). It also means thatloopnow takes two arguments: the first index in the block and the index after the last index in the block. Thus,loop(start, end)should typically involve a loop of the formfor (T i = start; i < end; i++). - The first and last indices can now be of two different integer types. Previously,
parallelize_loop(0, i, ...)did not work ifiwas not anint, because0was interpreted asint, and the two arguments had to be of the same type. Therefore, one had to use casting, e.g.parallelize_loop((size_t)0, i), to make it work. Now this is no longer necessary; the common type is inferred automatically usingstd::common_type_t.
- The second argument is now the index after the last index, instead of the last index itself. This is more consistent with C++ conventions (e.g. standard library algorithms) where the range is always
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- Publication date:
- August 15, 2021
- DOI:
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- License (for files):
- Other (Open)