\newcommand{\W}[1]{ \; #1 \; }
\newcommand{\R}[1]{ {\rm #1} }
\newcommand{\B}[1]{ {\bf #1} }
\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }
\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }
\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }
\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }This is cppad-20221105 documentation. Here is a link to its
current documentation
.
Run Multi-Threaded atomic_two Calculation
Syntax ok = multi_atomic_two_run(y_squared, square_root)
Thread
It is assumed that this function is called by thread zero
and all the other threads are blocked (waiting).
y_squared
This argument has prototype
const vector<double>& y_squared
and its size is equal to the number of threads.
It is the values that we are computing the square root of.
square_root
This argument has prototype
vector<double>& square_root
The input value of
square_root
does not matter.
Upon return,
it has the same size and
is the element by element square root of
y_squared
.
ok
This return value has prototype
bool ok
If it is false,
multi_atomic_two_run detected an error.
namespace {
bool multi_atomic_two_run(
const vector<double>& y_squared ,
vector<double>& square_root )
{
bool ok = true;
ok &= thread_alloc::thread_num() == 0;
// setup the work for multi-threading
ok &= multi_atomic_two_setup(y_squared);
// now do the work for each threadif( num_threads_ > 0 )
team_work( multi_atomic_two_worker );
elsemulti_atomic_two_worker();
// combine the result for each thread and takedown the multi-threading.
ok &= multi_atomic_two_takedown(square_root);
return ok;
}
}
