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[ceph.git] / ceph / src / boost / libs / compute / perf / perf_reduce_by_key.cpp
1 //---------------------------------------------------------------------------//
2 // Copyright (c) 2015 Jakub Szuppe <j.szuppe@gmail.com>
3 //
4 // Distributed under the Boost Software License, Version 1.0
5 // See accompanying file LICENSE_1_0.txt or copy at
6 // http://www.boost.org/LICENSE_1_0.txt
7 //
8 // See http://boostorg.github.com/compute for more information.
9 //---------------------------------------------------------------------------//
10
11 #include <algorithm>
12 #include <iostream>
13 #include <numeric>
14 #include <vector>
15
16 #include <boost/compute/system.hpp>
17 #include <boost/compute/algorithm/fill.hpp>
18 #include <boost/compute/algorithm/reduce_by_key.hpp>
19 #include <boost/compute/container/vector.hpp>
20
21 #include "perf.hpp"
22
23 int rand_int()
24 {
25 return static_cast<int>((rand() / double(RAND_MAX)) * 25.0);
26 }
27
28 struct unique_key {
29 int current;
30 int avgValuesNoPerKey;
31
32 unique_key()
33 {
34 current = 0;
35 avgValuesNoPerKey = 512;
36 }
37
38 int operator()()
39 {
40 double p = double(1.0) / static_cast<double>(avgValuesNoPerKey);
41 if((rand() / double(RAND_MAX)) <= p)
42 return ++current;
43 return current;
44 }
45 } UniqueKey;
46
47 int main(int argc, char *argv[])
48 {
49 perf_parse_args(argc, argv);
50
51 std::cout << "size: " << PERF_N << std::endl;
52
53 // setup context and queue for the default device
54 boost::compute::device device = boost::compute::system::default_device();
55 boost::compute::context context(device);
56 boost::compute::command_queue queue(context, device);
57 std::cout << "device: " << device.name() << std::endl;
58
59 // create vector of keys and random values
60 std::vector<int> host_keys(PERF_N);
61 std::vector<int> host_values(PERF_N);
62 std::generate(host_keys.begin(), host_keys.end(), UniqueKey);
63 std::generate(host_values.begin(), host_values.end(), rand_int);
64
65 // create vectors for keys and values on the device and copy the data
66 boost::compute::vector<int> device_keys(PERF_N, context);
67 boost::compute::vector<int> device_values(PERF_N,context);
68 boost::compute::copy(
69 host_keys.begin(),
70 host_keys.end(),
71 device_keys.begin(),
72 queue
73 );
74 boost::compute::copy(
75 host_values.begin(),
76 host_values.end(),
77 device_values.begin(),
78 queue
79 );
80
81 // vectors for the results
82 boost::compute::vector<int> device_keys_results(PERF_N, context);
83 boost::compute::vector<int> device_values_results(PERF_N,context);
84
85 typedef boost::compute::vector<int>::iterator iterType;
86 std::pair<iterType, iterType> result(
87 device_keys_results.begin(),
88 device_values_results.begin()
89 );
90
91 // reduce by key
92 perf_timer t;
93 for(size_t trial = 0; trial < PERF_TRIALS; trial++){
94 t.start();
95 result = boost::compute::reduce_by_key(device_keys.begin(),
96 device_keys.end(),
97 device_values.begin(),
98 device_keys_results.begin(),
99 device_values_results.begin(),
100 queue);
101 t.stop();
102 }
103 std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
104
105 size_t result_size = std::distance(device_keys_results.begin(), result.first);
106 if(result_size != static_cast<size_t>(host_keys[PERF_N-1] + 1)){
107 std::cout << "ERROR: "
108 << "wrong number of keys" << result_size << "\n" << (host_keys[PERF_N-1] + 1)
109 << std::endl;
110 return -1;
111 }
112
113 return 0;
114 }