\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)

multi_chkpoint_one_run

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Run Multi-Threaded chkpoint_one Calculation

Syntax

ok = multi_chkpoint_one_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_one_run detected an error.

Source

namespace {
bool multi_chkpoint_one_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_one_setup(y_squared);

   // now do the work for each thread
   if( num_threads_ > 0 )
      team_work( multi_chkpoint_one_worker );
   else
      multi_chkpoint_one_worker();

   // combine the result for each thread and takedown the multi-threading.
   ok &= multi_chkpoint_one_takedown(square_root);

   return ok;
}
}