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From llvm-project/pstl @ 0b2e0e80d96 libstdc++-v3/ChangeLog: * include/pstl/algorithm_impl.h: Update file. * include/pstl/execution_impl.h: Likewise. * include/pstl/glue_algorithm_impl.h: Likewise. * include/pstl/glue_memory_impl.h: Likewise. * include/pstl/glue_numeric_impl.h: Likewise. * include/pstl/memory_impl.h: Likewise. * include/pstl/numeric_impl.h: Likewise. * include/pstl/parallel_backend.h: Likewise. * include/pstl/parallel_backend_serial.h: Likewise. * include/pstl/parallel_backend_tbb.h: Likewise. * include/pstl/parallel_backend_utils.h: Likewise. * include/pstl/pstl_config.h: Likewise. * include/pstl/unseq_backend_simd.h: Likewise.
139 lines
4.0 KiB
C++
139 lines
4.0 KiB
C++
// -*- C++ -*-
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//===-- parallel_backend_serial.h -----------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#ifndef _PSTL_PARALLEL_BACKEND_SERIAL_H
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#define _PSTL_PARALLEL_BACKEND_SERIAL_H
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#include <algorithm>
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#include <cstddef>
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#include <memory>
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#include <numeric>
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#include <utility>
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namespace __pstl
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{
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namespace __serial_backend
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{
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template <typename _Tp>
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class __buffer
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{
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std::allocator<_Tp> __allocator_;
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_Tp* __ptr_;
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const std::size_t __buf_size_;
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__buffer(const __buffer&) = delete;
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void
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operator=(const __buffer&) = delete;
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public:
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__buffer(std::size_t __n) : __allocator_(), __ptr_(__allocator_.allocate(__n)), __buf_size_(__n) {}
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operator bool() const { return __ptr_ != nullptr; }
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_Tp*
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get() const
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{
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return __ptr_;
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}
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~__buffer() { __allocator_.deallocate(__ptr_, __buf_size_); }
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};
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inline void
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__cancel_execution()
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{
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}
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template <class _ExecutionPolicy, class _Index, class _Fp>
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void
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__parallel_for(_ExecutionPolicy&&, _Index __first, _Index __last, _Fp __f)
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{
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__f(__first, __last);
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}
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template <class _ExecutionPolicy, class _Value, class _Index, typename _RealBody, typename _Reduction>
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_Value
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__parallel_reduce(_ExecutionPolicy&&, _Index __first, _Index __last, const _Value& __identity,
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const _RealBody& __real_body, const _Reduction&)
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{
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if (__first == __last)
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{
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return __identity;
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}
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else
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{
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return __real_body(__first, __last, __identity);
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}
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}
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template <class _ExecutionPolicy, class _Index, class _UnaryOp, class _Tp, class _BinaryOp, class _Reduce>
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_Tp
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__parallel_transform_reduce(_ExecutionPolicy&&, _Index __first, _Index __last, _UnaryOp, _Tp __init, _BinaryOp,
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_Reduce __reduce)
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{
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return __reduce(__first, __last, __init);
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}
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template <class _ExecutionPolicy, typename _Index, typename _Tp, typename _Rp, typename _Cp, typename _Sp, typename _Ap>
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void
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__parallel_strict_scan(_ExecutionPolicy&&, _Index __n, _Tp __initial, _Rp __reduce, _Cp __combine, _Sp __scan,
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_Ap __apex)
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{
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_Tp __sum = __initial;
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if (__n)
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__sum = __combine(__sum, __reduce(_Index(0), __n));
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__apex(__sum);
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if (__n)
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__scan(_Index(0), __n, __initial);
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}
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template <class _ExecutionPolicy, class _Index, class _UnaryOp, class _Tp, class _BinaryOp, class _Reduce, class _Scan>
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_Tp
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__parallel_transform_scan(_ExecutionPolicy&&, _Index __n, _UnaryOp, _Tp __init, _BinaryOp, _Reduce, _Scan __scan)
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{
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return __scan(_Index(0), __n, __init);
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}
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template <class _ExecutionPolicy, typename _RandomAccessIterator, typename _Compare, typename _LeafSort>
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void
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__parallel_stable_sort(_ExecutionPolicy&&, _RandomAccessIterator __first, _RandomAccessIterator __last, _Compare __comp,
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_LeafSort __leaf_sort, std::size_t = 0)
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{
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__leaf_sort(__first, __last, __comp);
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}
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template <class _ExecutionPolicy, typename _RandomAccessIterator1, typename _RandomAccessIterator2,
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typename _RandomAccessIterator3, typename _Compare, typename _LeafMerge>
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void
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__parallel_merge(_ExecutionPolicy&&, _RandomAccessIterator1 __first1, _RandomAccessIterator1 __last1,
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_RandomAccessIterator2 __first2, _RandomAccessIterator2 __last2, _RandomAccessIterator3 __outit,
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_Compare __comp, _LeafMerge __leaf_merge)
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{
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__leaf_merge(__first1, __last1, __first2, __last2, __outit, __comp);
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}
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template <class _ExecutionPolicy, typename _F1, typename _F2>
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void
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__parallel_invoke(_ExecutionPolicy&&, _F1&& __f1, _F2&& __f2)
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{
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std::forward<_F1>(__f1)();
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std::forward<_F2>(__f2)();
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}
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} // namespace __serial_backend
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} // namespace __pstl
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namespace __pstl
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{
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namespace __par_backend
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{
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using namespace __pstl::__serial;
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}
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} // namespace __pstl
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#endif /* _PSTL_PARALLEL_BACKEND_SERIAL_H */
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