ThreadVectorRange
#
Header File: Kokkos_Core.hpp
Usage:
parallel_for(ThreadVectorRange(team,range), [=] (int i) {...});
parallel_reduce(ThreadVectorRange(team,begin,end),
[=] (int i, double& lsum) {...},sum);
parallel_scan(ThreadVectorRange(team,range),
[=] (int i, double& lsum, bool final) {...});
ThreadVectorRange is a nested execution policy used inside hierarchical parallelism. In contrast to global policies, the public interface for nested policies is implemented as functions, in order to enable implicit templating on the execution space type via the team handle.
Synopsis#
template<class TeamMemberType, class iType>
/* implementation defined */ ThreadVectorRange(TeamMemberType team, iType count);
template<class TeamMemberType, class iType1, class iType2>
/* implementation defined */ ThreadVectorRange(TeamMemberType team, iType1 begin, iType2 end);
Description#
template<class TeamMemberType, class iType>
/* Implementation defined */ ThreadVectorRange(TeamMemberType team, iType count);
Splits the index range 0
to count-1
over the vector lanes of the calling thread.
Arguments:
team
: a handle to the calling team execution context.count
: index range length.
Returns:
Implementation defined type.
Requirements
TeamMemberType
is a type that models TeamHandlestd::is_integral<iType>::value
is true.count >= 0
is true;This function can not be called inside a parallel operation dispatched using a TeamVectorRange policy or
ThreadVectorRange
policy.
template<class TeamMemberType, class iType1, class iType2>
/* Implementation defined */ ThreadVectorRange(TeamMemberType team, iType1 begin, iType2 end);
Splits the index range begin
to end-1
over the vector lanes of the calling thread.
Arguments
team
: a handle to the calling team execution context.begin
: index range begin.end
: index range end.
Returns
Implementation defined type.
Requirements:
TeamMemberType
is a type that models TeamHandlestd::is_integral<iType1>::value
is true.std::is_integral<iType2>::value
is true.end >= begin
is true;This function can not be called inside a parallel operation dispatched using a TeamVectorRange policy or
ThreadVectorRange
policy.
Examples#
typedef TeamPolicy<>::member_type team_handle;
parallel_for(TeamPolicy<>(N,AUTO,4), KOKKOS_LAMBDA (const team_handle& team) {
int n = team.league_rank();
parallel_for(TeamThreadRange(team,M), [&] (const int i) {
parallel_for(ThreadVectorRange(team,K), [&] (const int j) {
A(n,i,j) = B(n,i) + j;
});
});
team.team_barrier();
int team_sum;
parallel_reduce(TeamThreadRange(team,M), [&] (const int& i, int& threadsum) {
int tsum = 0;
parallel_reduce(ThreadVectorRange(team,M), [&] (const int& j, int& lsum) {
lsum += A(n,i,j);
},tsum);
single(PerThread(team),[&] () {
threadsum += tsum;
});
},team_sum);
lsum += A(n,i);
},team_sum);
single(PerTeam(team),[&] () {
A_rowsum(n) += team_sum;
});
});