thrust::inclusive_scan

Defined in thrust/scan.h

template<typename DerivedPolicy, typename InputIterator, typename OutputIterator, typename AssociativeOperator>
OutputIterator thrust::inclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec, InputIterator first, InputIterator last, OutputIterator result, AssociativeOperator binary_op)

inclusive_scan computes an inclusive prefix sum operation. The term ‘inclusive’ means that each result includes the corresponding input operand in the partial sum. When the input and output sequences are the same, the scan is performed in-place.

inclusive_scan is similar to std::partial_sum in the STL. The primary difference between the two functions is that std::partial_sum guarantees a serial summation order, while inclusive_scan requires associativity of the binary operation to parallelize the prefix sum.

Results are not deterministic for pseudo-associative operators (e.g., addition of floating-point types). Results for pseudo-associative operators may vary from run to run.

The algorithm’s execution is parallelized as determined by exec.

The following code snippet demonstrates how to use inclusive_scan to compute an in-place prefix sum using the thrust::host execution policy for parallelization:

int data[10] = {-5, 0, 2, -3, 2, 4, 0, -1, 2, 8};

thrust::maximum<int> binary_op;

thrust::inclusive_scan(thrust::host, data, data + 10, data, binary_op); // in-place scan

// data is now {-5, 0, 2, 2, 2, 4, 4, 4, 4, 8}

Parameters
  • exec – The execution policy to use for parallelization.

  • first – The beginning of the input sequence.

  • last – The end of the input sequence.

  • result – The beginning of the output sequence.

  • binary_op – The associative operator used to ‘sum’ values.

Template Parameters
  • DerivedPolicy – The name of the derived execution policy.

  • InputIterator – is a model of Input Iterator and InputIterator's value_type is convertible to OutputIterator's value_type.

  • OutputIterator – is a model of Output Iterator and OutputIterator's value_type is convertible to both AssociativeOperator's first_argument_type and second_argument_type.

  • AssociativeOperator – is a model of Binary Function and AssociativeOperator's result_type is convertible to OutputIterator's value_type.

Returns

The end of the output sequence.

Pre

first may equal result but the range [first, last) and the range [result, result + (last - first)) shall not overlap otherwise.