Initial Commit

2018-02-08 21:28:33 -05:00
commit 678c1d3966
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+//---------------------------------------------------------------------------//
+// Copyright (c) 2016 Jakub Szuppe <j.szuppe@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.
+//---------------------------------------------------------------------------//
+
+#ifndef BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP
+#define BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP
+
+#include <algorithm>
+
+#include <boost/compute/buffer.hpp>
+#include <boost/compute/command_queue.hpp>
+#include <boost/compute/detail/meta_kernel.hpp>
+#include <boost/compute/detail/iterator_range_size.hpp>
+#include <boost/compute/detail/parameter_cache.hpp>
+#include <boost/compute/iterator/buffer_iterator.hpp>
+#include <boost/compute/type_traits/result_of.hpp>
+#include <boost/compute/algorithm/detail/serial_reduce.hpp>
+
+namespace boost {
+namespace compute {
+namespace detail {
+
+template<class InputIterator, class OutputIterator, class BinaryFunction>
+inline void reduce_on_cpu(InputIterator first,
+                          InputIterator last,
+                          OutputIterator result,
+                          BinaryFunction function,
+                          command_queue &queue)
+{
+    typedef typename
+        std::iterator_traits<InputIterator>::value_type T;
+    typedef typename
+        ::boost::compute::result_of<BinaryFunction(T, T)>::type result_type;
+
+    const device &device = queue.get_device();
+    const uint_ compute_units = queue.get_device().compute_units();
+
+    boost::shared_ptr<parameter_cache> parameters =
+        detail::parameter_cache::get_global_cache(device);
+
+    std::string cache_key =
+        "__boost_reduce_cpu_" + boost::lexical_cast<std::string>(sizeof(T));
+
+    // for inputs smaller than serial_reduce_threshold
+    // serial_reduce algorithm is used
+    uint_ serial_reduce_threshold =
+        parameters->get(cache_key, "serial_reduce_threshold", 16384 * sizeof(T));
+    serial_reduce_threshold =
+        (std::max)(serial_reduce_threshold, uint_(compute_units));
+
+    const context &context = queue.get_context();
+    size_t count = detail::iterator_range_size(first, last);
+    if(count == 0){
+        return;
+    }
+    else if(count < serial_reduce_threshold) {
+        return serial_reduce(first, last, result, function, queue);
+    }
+
+    meta_kernel k("reduce_on_cpu");
+    buffer output(context, sizeof(result_type) * compute_units);
+
+    size_t count_arg = k.add_arg<uint_>("count");
+    size_t output_arg =
+        k.add_arg<result_type *>(memory_object::global_memory, "output");
+
+    k <<
+        "uint block = " <<
+            "(uint)ceil(((float)count)/get_global_size(0));\n" <<
+        "uint index = get_global_id(0) * block;\n" <<
+        "uint end = min(count, index + block);\n" <<
+
+        k.decl<result_type>("result") << " = " << first[k.var<uint_>("index")] << ";\n" <<
+        "index++;\n" <<
+        "while(index < end){\n" <<
+             "result = " << function(k.var<T>("result"),
+                                     first[k.var<uint_>("index")]) << ";\n" <<
+             "index++;\n" <<
+        "}\n" <<
+        "output[get_global_id(0)] = result;\n";
+
+    size_t global_work_size = compute_units;
+    kernel kernel = k.compile(context);
+
+    // reduction to global_work_size elements
+    kernel.set_arg(count_arg, static_cast<uint_>(count));
+    kernel.set_arg(output_arg, output);
+    queue.enqueue_1d_range_kernel(kernel, 0, global_work_size, 0);
+
+    // final reduction
+    reduce_on_cpu(
+        make_buffer_iterator<result_type>(output),
+        make_buffer_iterator<result_type>(output, global_work_size),
+        result,
+        function,
+        queue
+    );
+}
+
+} // end detail namespace
+} // end compute namespace
+} // end boost namespace
+
+#endif // BOOST_COMPUTE_ALGORITHM_DETAIL_REDUCE_ON_CPU_HPP