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Using Rcpp::Timer
together with
Rcpp::sourceCpp
is similar to using it in an R package
(c.f. vignette("packages")
). However, instead of linking to
rcpptimer in the DESCRIPTION
file, we declare this
dependency in the C++ file. We can do this by adding
//[[Rcpp::depends(rcpptimer)]]
. In the following, find a
simple example file called ‘fibonacci_omp.cpp’:
// fibonacci_omp.cpp
//[[Rcpp::depends(rcpptimer)]]
#include <rcpptimer.h>
long int fib(long int n)
{
return ((n <= 1) ? n : fib(n - 1) + fib(n - 2));
}
//[[Rcpp::export]]
std::vector<long int> fibonacci_omp(std::vector<long int> n)
{
Rcpp::Timer timer;
// This scoped timer measures the total execution time of 'fibonacci'
Rcpp::Timer::ScopedTimer scpdtmr(timer, "fib_body");
std::vector<long int> results = n;
#pragma omp parallel for
for (unsigned int i = 0; i < n.size(); ++i)
{
timer.tic("fib_" + std::to_string(n[i]));
results[i] = fib(n[i]);
timer.toc("fib_" + std::to_string(n[i]));
}
return (results);
}
Place that file in your working directory and run:
This will compile the C++ code and load the function
fibonacci_omp
into your R environment. You can now call it
with fibonacci_omp(n = rep(20:25, 10))
and observe the
timings by executing print(times)
.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.