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239 lines
9.4 KiB
239 lines
9.4 KiB
/* |
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* Copyright 2008-2012 NVIDIA Corporation |
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* |
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* Licensed under the Apache License, Version 2.0 (the "License"); |
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* you may not use this file except in compliance with the License. |
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* You may obtain a copy of the License at |
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* |
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* http://www.apache.org/licenses/LICENSE-2.0 |
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* |
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* Unless required by applicable law or agreed to in writing, software |
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* distributed under the License is distributed on an "AS IS" BASIS, |
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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* See the License for the specific language governing permissions and |
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* limitations under the License. |
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*/ |
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#include <thrust/detail/config.h> |
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#include <thrust/system/detail/generic/scan_by_key.h> |
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#include <thrust/functional.h> |
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#include <thrust/transform.h> |
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#include <thrust/replace.h> |
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#include <thrust/iterator/zip_iterator.h> |
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#include <thrust/iterator/iterator_traits.h> |
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#include <thrust/detail/temporary_array.h> |
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#include <thrust/detail/internal_functional.h> |
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#include <thrust/scan.h> |
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namespace thrust |
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{ |
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namespace system |
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{ |
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namespace detail |
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{ |
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namespace generic |
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{ |
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namespace detail |
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{ |
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template <typename OutputType, typename HeadFlagType, typename AssociativeOperator> |
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struct segmented_scan_functor |
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{ |
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AssociativeOperator binary_op; |
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typedef typename thrust::tuple<OutputType, HeadFlagType> result_type; |
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__host__ __device__ |
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segmented_scan_functor(AssociativeOperator _binary_op) : binary_op(_binary_op) {} |
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__host__ __device__ |
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result_type operator()(result_type a, result_type b) |
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{ |
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return result_type(thrust::get<1>(b) ? thrust::get<0>(b) : binary_op(thrust::get<0>(a), thrust::get<0>(b)), |
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thrust::get<1>(a) | thrust::get<1>(b)); |
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} |
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}; |
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} // end namespace detail |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator> |
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OutputIterator inclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result) |
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{ |
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typedef typename thrust::iterator_traits<InputIterator1>::value_type InputType1; |
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return thrust::inclusive_scan_by_key(exec, first1, last1, first2, result, thrust::equal_to<InputType1>()); |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator, |
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typename BinaryPredicate> |
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OutputIterator inclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result, |
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BinaryPredicate binary_pred) |
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{ |
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typedef typename thrust::iterator_traits<OutputIterator>::value_type OutputType; |
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return thrust::inclusive_scan_by_key(exec, first1, last1, first2, result, binary_pred, thrust::plus<OutputType>()); |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator, |
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typename BinaryPredicate, |
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typename AssociativeOperator> |
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OutputIterator inclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result, |
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BinaryPredicate binary_pred, |
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AssociativeOperator binary_op) |
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{ |
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typedef typename thrust::iterator_traits<OutputIterator>::value_type OutputType; |
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typedef unsigned int HeadFlagType; |
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const size_t n = last1 - first1; |
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if(n != 0) |
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{ |
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// compute head flags |
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thrust::detail::temporary_array<HeadFlagType,DerivedPolicy> flags(exec, n); |
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flags[0] = 1; thrust::transform(exec, first1, last1 - 1, first1 + 1, flags.begin() + 1, thrust::detail::not2(binary_pred)); |
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// scan key-flag tuples, |
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// For additional details refer to Section 2 of the following paper |
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// S. Sengupta, M. Harris, and M. Garland. "Efficient parallel scan algorithms for GPUs" |
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// NVIDIA Technical Report NVR-2008-003, December 2008 |
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// http://mgarland.org/files/papers/nvr-2008-003.pdf |
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thrust::inclusive_scan |
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(exec, |
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thrust::make_zip_iterator(thrust::make_tuple(first2, flags.begin())), |
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thrust::make_zip_iterator(thrust::make_tuple(first2, flags.begin())) + n, |
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thrust::make_zip_iterator(thrust::make_tuple(result, flags.begin())), |
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detail::segmented_scan_functor<OutputType, HeadFlagType, AssociativeOperator>(binary_op)); |
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} |
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return result + n; |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator> |
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OutputIterator exclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result) |
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{ |
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typedef typename thrust::iterator_traits<OutputIterator>::value_type OutputType; |
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return thrust::exclusive_scan_by_key(exec, first1, last1, first2, result, OutputType(0)); |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator, |
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typename T> |
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OutputIterator exclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result, |
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T init) |
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{ |
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typedef typename thrust::iterator_traits<InputIterator1>::value_type InputType1; |
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return thrust::exclusive_scan_by_key(exec, first1, last1, first2, result, init, thrust::equal_to<InputType1>()); |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator, |
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typename T, |
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typename BinaryPredicate> |
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OutputIterator exclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result, |
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T init, |
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BinaryPredicate binary_pred) |
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{ |
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typedef typename thrust::iterator_traits<OutputIterator>::value_type OutputType; |
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return thrust::exclusive_scan_by_key(exec, first1, last1, first2, result, init, binary_pred, thrust::plus<OutputType>()); |
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} |
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template<typename DerivedPolicy, |
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typename InputIterator1, |
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typename InputIterator2, |
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typename OutputIterator, |
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typename T, |
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typename BinaryPredicate, |
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typename AssociativeOperator> |
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OutputIterator exclusive_scan_by_key(thrust::execution_policy<DerivedPolicy> &exec, |
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InputIterator1 first1, |
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InputIterator1 last1, |
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InputIterator2 first2, |
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OutputIterator result, |
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T init, |
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BinaryPredicate binary_pred, |
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AssociativeOperator binary_op) |
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{ |
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typedef typename thrust::iterator_traits<OutputIterator>::value_type OutputType; |
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typedef unsigned int HeadFlagType; |
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const size_t n = last1 - first1; |
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if(n != 0) |
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{ |
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InputIterator2 last2 = first2 + n; |
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// compute head flags |
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thrust::detail::temporary_array<HeadFlagType,DerivedPolicy> flags(exec, n); |
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flags[0] = 1; thrust::transform(exec, first1, last1 - 1, first1 + 1, flags.begin() + 1, thrust::detail::not2(binary_pred)); |
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// shift input one to the right and initialize segments with init |
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thrust::detail::temporary_array<OutputType,DerivedPolicy> temp(exec, n); |
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thrust::replace_copy_if(exec, first2, last2 - 1, flags.begin() + 1, temp.begin() + 1, thrust::negate<HeadFlagType>(), init); |
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temp[0] = init; |
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// scan key-flag tuples, |
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// For additional details refer to Section 2 of the following paper |
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// S. Sengupta, M. Harris, and M. Garland. "Efficient parallel scan algorithms for GPUs" |
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// NVIDIA Technical Report NVR-2008-003, December 2008 |
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// http://mgarland.org/files/papers/nvr-2008-003.pdf |
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thrust::inclusive_scan(exec, |
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thrust::make_zip_iterator(thrust::make_tuple(temp.begin(), flags.begin())), |
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thrust::make_zip_iterator(thrust::make_tuple(temp.begin(), flags.begin())) + n, |
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thrust::make_zip_iterator(thrust::make_tuple(result, flags.begin())), |
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detail::segmented_scan_functor<OutputType, HeadFlagType, AssociativeOperator>(binary_op)); |
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} |
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return result + n; |
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} |
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} // end namespace generic |
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} // end namespace detail |
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} // end namespace system |
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} // end namespace thrust |
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