\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
multi_chkpoint_two_run¶
View page sourceRun Multi-Threaded chkpoint_two Calculation¶
Syntax¶
ok = multi_chkpoint_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_chkpoint_two_run
detected an error.
Source¶
namespace {
bool multi_chkpoint_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_chkpoint_two_setup(y_squared);
// now do the work for each thread
if( num_threads_ > 0 )
team_work( multi_chkpoint_two_worker );
else
multi_chkpoint_two_worker();
// combine the result for each thread and takedown the multi-threading.
ok &= multi_chkpoint_two_takedown(square_root);
return ok;
}
}