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diff --git a/src/boost/libs/compute/example/simple_kernel.cpp b/src/boost/libs/compute/example/simple_kernel.cpp
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+++ b/src/boost/libs/compute/example/simple_kernel.cpp
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+//---------------------------------------------------------------------------//
+// Copyright (c) 2013 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 <iostream>
+
+#include <boost/compute/core.hpp>
+
+namespace compute = boost::compute;
+
+// this example demonstrates how to use the Boost.Compute classes to
+// setup and run a simple vector addition kernel on the GPU
+int main()
+{
+    // get the default device
+    compute::device device = compute::system::default_device();
+
+    // create a context for the device
+    compute::context context(device);
+
+    // setup input arrays
+    float a[] = { 1, 2, 3, 4 };
+    float b[] = { 5, 6, 7, 8 };
+
+    // make space for the output
+    float c[] = { 0, 0, 0, 0 };
+
+    // create memory buffers for the input and output
+    compute::buffer buffer_a(context, 4 * sizeof(float));
+    compute::buffer buffer_b(context, 4 * sizeof(float));
+    compute::buffer buffer_c(context, 4 * sizeof(float));
+
+    // source code for the add kernel
+    const char source[] =
+        "__kernel void add(__global const float *a,"
+        "                  __global const float *b,"
+        "                  __global float *c)"
+        "{"
+        "    const uint i = get_global_id(0);"
+        "    c[i] = a[i] + b[i];"
+        "}";
+
+    // create the program with the source
+    compute::program program =
+        compute::program::create_with_source(source, context);
+
+    // compile the program
+    program.build();
+
+    // create the kernel
+    compute::kernel kernel(program, "add");
+
+    // set the kernel arguments
+    kernel.set_arg(0, buffer_a);
+    kernel.set_arg(1, buffer_b);
+    kernel.set_arg(2, buffer_c);
+
+    // create a command queue
+    compute::command_queue queue(context, device);
+
+    // write the data from 'a' and 'b' to the device
+    queue.enqueue_write_buffer(buffer_a, 0, 4 * sizeof(float), a);
+    queue.enqueue_write_buffer(buffer_b, 0, 4 * sizeof(float), b);
+
+    // run the add kernel
+    queue.enqueue_1d_range_kernel(kernel, 0, 4, 0);
+
+    // transfer results back to the host array 'c'
+    queue.enqueue_read_buffer(buffer_c, 0, 4 * sizeof(float), c);
+
+    // print out results in 'c'
+    std::cout << "c: [" << c[0] << ", "
+                        << c[1] << ", "
+                        << c[2] << ", "
+                        << c[3] << "]" << std::endl;
+
+    return 0;
+}