thrust::exclusive_scan
Defined in thrust/scan.h
-
template<typename DerivedPolicy, typename InputIterator, typename OutputIterator>
OutputIterator thrust::exclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec, InputIterator first, InputIterator last, OutputIterator result) exclusive_scan
computes an exclusive prefix sum operation. The term ‘exclusive’ means that each result does not include the corresponding input operand in the partial sum. More precisely,0
is assigned to*result
and the sum of0
and*first
is assigned to*(result + 1)
, and so on. This version ofexclusive_scan
assumes plus as the associative operator and0
as the initial value. When the input and output sequences are the same, the scan is performed in-place.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
exclusive_scan
to compute an in-place prefix sum using thethrust::host
execution policy for parallelization:#include <thrust/scan.h> #include <thrust/execution_policy.h> ... int data[6] = {1, 0, 2, 2, 1, 3}; thrust::exclusive_scan(thrust::host, data, data + 6, data); // in-place scan // data is now {0, 1, 1, 3, 5, 6}
- 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.
- Template Parameters
DerivedPolicy – The name of the derived execution policy.
InputIterator – is a model of Input Iterator and
InputIterator's
value_type
is convertible toOutputIterator's
value_type
.OutputIterator – is a model of Output Iterator, and if
x
andy
are objects ofOutputIterator's
value_type
, thenx + y
is defined. IfT
isOutputIterator's
value_type
, thenT(0)
is defined.
- Returns
The end of the output sequence.
- Pre
first
may equalresult
but the range[first, last)
and the range[result, result + (last - first))
shall not overlap otherwise.