maxjhandsome
/
llvm-project
forked from OSchip/llvm-project
1
0
Fork 0
Code Issues Pull Requests Packages Releases Wiki Activity
llvm-project/pstl
History
Louis Dionne 1f66672515 [pstl] Avoid shadowing explicit lambda capture with lambda parameter 
Summary:
Recent Clangs give an error for this. Note that the size of this diff is
caused by running clang-format on the result of removing the captures.
I guess we'll see how well that works for us.

Reviewers: jfb, rodgert

Subscribers: jkorous, dexonsmith, libcxx-commits, mclow.lists

Differential Revision: https://reviews.llvm.org/D55945

llvm-svn: 350544
 		2019-01-07 17:31:17 +00:00
..
build
…
cmake [pstl] Initial integration with LLVM's CMake 2018-12-21 15:59:04 +00:00
include/pstl [pstl] Avoid shadowing explicit lambda capture with lambda parameter 2019-01-07 17:31:17 +00:00
test [pstl] Initial integration with LLVM's CMake 2018-12-21 15:59:04 +00:00
.arcconfig
…
.clang-format
…
CMakeLists.txt [pstl] Initial integration with LLVM's CMake 2018-12-21 15:59:04 +00:00
CREDITS.txt
…
LICENSE.txt
…
ParallelSTLConfig.cmake.in
…
README.md [NFC] Fix formatting of README.md for better rendering 2019-01-07 16:54:02 +00:00

README.md

Parallel STL

Parallel STL is an implementation of the C++ standard library algorithms with support for execution policies, as specified in ISO/IEC 14882:2017 standard, commonly called C++17. The implementation also supports the unsequenced execution policy specified in Parallelism TS version 2 and proposed for the next version of the C++ standard in the C++ working group paper P1001. Parallel STL offers efficient support for both parallel and vectorized execution of algorithms. For sequential execution, it relies on an available implementation of the C++ standard library.

Prerequisites

To use Parallel STL, you must have the following software installed:

  • C++ compiler with:
    • Support for C++11
    • Support for OpenMP* 4.0 SIMD constructs
  • Threading Building Blocks (TBB) which is available for download at https://github.com/01org/tbb/

Known issues and limitations

  • unseq and par_unseq policies only have effect with compilers that support #pragma omp simd or #pragma simd.
  • Parallel and vector execution is only supported for the algorithms if random access iterators are provided, while for other iterator types the execution will remain serial.
  • The following algorithms do not allow efficient SIMD execution: includes, inplace_merge, merge, nth_element, partial_sort, partial_sort_copy, set_difference, set_intersection, set_symmetric_difference, set_union, sort, stable_partition, stable_sort, unique.
  • The initial value type for exclusive_scan, inclusive_scan, transform_exclusive_scan, transform_inclusive_scan shall be DefaultConstructible. A default constructed-instance of the initial value type shall be the identity element for the specified binary operation.
  • For max_element, min_element, minmax_element, partial_sort, partial_sort_copy, sort, stable_sort the dereferenced value type of the provided iterators shall be DefaultConstructible.
  • For remove, remove_if, unique the dereferenced value type of the provided iterators shall be MoveConstructible.
  • The following algorithms require additional O(n) memory space for parallel execution: copy_if, inplace_merge, partial_sort, partial_sort_copy, partition_copy, remove, remove_if, rotate, sort, stable_sort, unique, unique_copy.