1 files changed, 75 insertions, 0 deletions
diff --git a/src/boost/libs/compute/perf/perf_set_intersection.cpp b/src/boost/libs/compute/perf/perf_set_intersection.cpp
new file mode 100644
index 00000000..dbfeb42f
--- /dev/null
+++ b/src/boost/libs/compute/perf/perf_set_intersection.cpp
@@ -0,0 +1,75 @@
+//---------------------------------------------------------------------------//
+// Copyright (c) 2014 Roshan <thisisroshansmail@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 <boost/compute/system.hpp>
+#include <boost/compute/algorithm/set_intersection.hpp>
+#include <boost/compute/container/vector.hpp>
+
+#include "perf.hpp"
+
+int rand_int()
+{
+    return static_cast<int>((rand() / double(RAND_MAX)) * 25.0);
+}
+
+int main(int argc, char *argv[])
+{
+    perf_parse_args(argc, argv);
+    std::cout << "size: " << PERF_N << std::endl;
+
+    // setup context and queue for the default device
+    boost::compute::device device = boost::compute::system::default_device();
+    boost::compute::context context(device);
+    boost::compute::command_queue queue(context, device);
+    std::cout << "device: " << device.name() << std::endl;
+
+    // create vectors of random numbers on the host
+    std::vector<int> v1(std::floor(PERF_N / 2.0));
+    std::vector<int> v2(std::ceil(PERF_N / 2.0));
+    std::generate(v1.begin(), v1.end(), rand_int);
+    std::generate(v2.begin(), v2.end(), rand_int);
+    std::sort(v1.begin(), v1.end());
+    std::sort(v2.begin(), v2.end());
+
+    // create vectors on the device and copy the data
+    boost::compute::vector<int> gpu_v1(std::floor(PERF_N / 2.0), context);
+    boost::compute::vector<int> gpu_v2(std::ceil(PERF_N / 2.0), context);
+
+    boost::compute::copy(
+        v1.begin(), v1.end(), gpu_v1.begin(), queue
+    );
+    boost::compute::copy(
+        v2.begin(), v2.end(), gpu_v2.begin(), queue
+    );
+
+    boost::compute::vector<int> gpu_v3(PERF_N, context);
+    boost::compute::vector<int>::iterator gpu_v3_end;
+
+    perf_timer t;
+    for(size_t trial = 0; trial < PERF_TRIALS; trial++){
+        t.start();
+        gpu_v3_end = boost::compute::set_intersection(
+            gpu_v1.begin(), gpu_v1.end(),
+            gpu_v2.begin(), gpu_v2.end(),
+            gpu_v3.begin(), queue
+        );
+        queue.finish();
+        t.stop();
+    }
+    std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
+    std::cout << "size: " << std::distance(gpu_v3.begin(), gpu_v3_end) << std::endl;
+
+    return 0;
+}