\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
omp_in_parallel¶
View page sourceIs The Current Execution in OpenMP Parallel Mode¶
Deprecated 2011-08-31¶
Use the function thread_alloc::in_parallel instead.
Syntax¶
#
include <cppad/utility/omp_alloc.hpp>
flag = omp_alloc::in_parallel ()
Purpose¶
Some of the omp_alloc allocation routines have different specifications for parallel (not sequential) execution mode. This routine enables you to determine if the current execution mode is sequential or parallel.
flag¶
The return value has prototype
boolflag
It is true if the current execution is in parallel mode (possibly multi-threaded) and false otherwise (sequential mode).