summaryrefslogtreecommitdiffstats
path: root/src/boost/libs/compute/perf/perf_tbb_accumulate.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/boost/libs/compute/perf/perf_tbb_accumulate.cpp')
-rw-r--r--src/boost/libs/compute/perf/perf_tbb_accumulate.cpp75
1 files changed, 75 insertions, 0 deletions
diff --git a/src/boost/libs/compute/perf/perf_tbb_accumulate.cpp b/src/boost/libs/compute/perf/perf_tbb_accumulate.cpp
new file mode 100644
index 00000000..319ad8af
--- /dev/null
+++ b/src/boost/libs/compute/perf/perf_tbb_accumulate.cpp
@@ -0,0 +1,75 @@
+//---------------------------------------------------------------------------//
+// Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@gmail.com>
+//
+// Distributed under the Boost Software License, Version 1.0
+// See accompanying file LICENSE_1_0.txt or copy at
+// http://www.boost.org/LICENSE_1_0.txt
+//
+// See http://boostorg.github.com/compute for more information.
+//---------------------------------------------------------------------------//
+
+#include <algorithm>
+#include <iostream>
+#include <numeric>
+#include <vector>
+
+#include <tbb/blocked_range.h>
+#include <tbb/parallel_reduce.h>
+
+#include "perf.hpp"
+
+int rand_int()
+{
+ return static_cast<int>((rand() / double(RAND_MAX)) * 25.0);
+}
+
+template<class T>
+struct Sum {
+ T value;
+ Sum() : value(0) {}
+ Sum( Sum& s, tbb::split ) {value = 0;}
+ void operator()( const tbb::blocked_range<T*>& r ) {
+ T temp = value;
+ for( T* a=r.begin(); a!=r.end(); ++a ) {
+ temp += *a;
+ }
+ value = temp;
+ }
+ void join( Sum& rhs ) {value += rhs.value;}
+};
+
+template<class T>
+T ParallelSum( T array[], size_t n ) {
+ Sum<T> total;
+ tbb::parallel_reduce( tbb::blocked_range<T*>( array, array+n ),
+ total );
+ return total.value;
+}
+
+int main(int argc, char *argv[])
+{
+ perf_parse_args(argc, argv);
+ std::cout << "size: " << PERF_N << std::endl;
+
+ // create vector of random numbers on the host
+ std::vector<int> host_vector(PERF_N);
+ std::generate(host_vector.begin(), host_vector.end(), rand_int);
+
+ int sum = 0;
+ perf_timer t;
+ for(size_t trial = 0; trial < PERF_TRIALS; trial++){
+ t.start();
+ sum = ParallelSum<int>(&host_vector[0], host_vector.size());
+ t.stop();
+ }
+ std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
+ std::cout << "sum: " << sum << std::endl;
+
+ int host_sum = std::accumulate(host_vector.begin(), host_vector.end(), int(0));
+ if(sum != host_sum){
+ std::cerr << "ERROR: sum (" << sum << ") != (" << host_sum << ")" << std::endl;
+ return -1;
+ }
+
+ return 0;
+}