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Update bench
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@@ -10,16 +10,24 @@ namespace model {
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#include <exotic_arguments.c>
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#include <fibonacci.c>
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#include <two_dimension_array.c>
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#include <matrix.c>
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#include <graph.c>
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}
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extern "C" {
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int exotic_arguments_struct_small(model::small, int);
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long exotic_arguments_struct_large(model::large, int);
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float exotic_arguments_struct_small_ugly(model::small_ugly, int);
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double exotic_arguments_struct_large_ugly(model::large_ugly, int);
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float exotic_arguments_float(float, int);
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double exotic_arguments_double(double, int);
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int fibonacci_recursive(int, int);
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int fibonacci_loop(int, int);
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int two_dimension_array(int, int);
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int matrix_mul(int, int);
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int matrix_add(int, int);
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int graph_dijkstra(int, int);
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int graph_floyd_warshall(int, int);
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}
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namespace {
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@@ -54,21 +62,32 @@ namespace {
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int main() {
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std::srand(static_cast<unsigned>(time(NULL)));
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// Checks if the compiler observes the calling convention.
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evaluate("exotic_arguments_struct_small", model::small { .a = 3, .b = 4 }, exotic_arguments_struct_small, model::exotic_arguments_struct_small);
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evaluate("exotic_arguments_struct_large", model::large { .a = 5, .b = 6, .c = 7, .d = 8, .e = 9, .f = 10, .g = 11, .h = 12 }, exotic_arguments_struct_large, model::exotic_arguments_struct_large);
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evaluate("exotic_arguments_struct_small_ugly", model::small_ugly { .a = 5, .b = 6.0f }, exotic_arguments_struct_small_ugly, model::exotic_arguments_struct_small_ugly);
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evaluate("exotic_arguments_struct_large_ugly", model::large_ugly { .a = 5, .b = 6.0f, .c = 7, .d = 8.0, .e = 9, .f = 10, .g = 11, .h = 12.0, .i = 13, .j = 14, .k = 15, .l = 16.0 }, exotic_arguments_struct_large_ugly, model::exotic_arguments_struct_large_ugly);
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evaluate("exotic_arguments_float", 0.42f, exotic_arguments_float, model::exotic_arguments_float);
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evaluate("exotic_arguments_double", 0.42, exotic_arguments_double, model::exotic_arguments_double);
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// Measures cycles for computationally heavy programs.
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std::vector<unsigned long> cycles;
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cycles.push_back(evaluate("exotic_arguments_struct_small", model::small { .a = 3, .b = 4 }, exotic_arguments_struct_small, model::exotic_arguments_struct_small));
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cycles.push_back(evaluate("exotic_arguments_struct_large", model::large { .a = 5, .b = 6, .c = 7, .d = 8, .e = 9, .f = 10, .g = 11, .h = 12 }, exotic_arguments_struct_large, model::exotic_arguments_struct_large));
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cycles.push_back(evaluate("exotic_arguments_float", 0.42f, exotic_arguments_float, model::exotic_arguments_float));
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cycles.push_back(evaluate("exotic_arguments_double", 0.42, exotic_arguments_double, model::exotic_arguments_double));
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cycles.push_back(evaluate("fibonacci_recursive", 30, fibonacci_recursive, model::fibonacci_recursive));
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cycles.push_back(evaluate("fibonacci_loop", 30, fibonacci_loop, model::fibonacci_loop));
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cycles.push_back(evaluate("two_dimension_array", 100, two_dimension_array, model::two_dimension_array));
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double average = 1.0;
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for (auto cycle: cycles) {
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average *= static_cast<double>(cycle);
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for (int i = 0; i < 10; ++i) {
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cycles.push_back(evaluate("fibonacci_recursive", 30, fibonacci_recursive, model::fibonacci_recursive));
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cycles.push_back(evaluate("fibonacci_loop", 30, fibonacci_loop, model::fibonacci_loop));
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cycles.push_back(evaluate("two_dimension_array", 100, two_dimension_array, model::two_dimension_array));
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cycles.push_back(evaluate("matrix_mul", 30, matrix_mul, model::matrix_mul));
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cycles.push_back(evaluate("matrix_add", 30, matrix_add, model::matrix_add));
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cycles.push_back(evaluate("graph_dijkstra", 1000, graph_dijkstra, model::graph_dijkstra));
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cycles.push_back(evaluate("graph_floyd_warshall", 200, graph_floyd_warshall, model::graph_floyd_warshall));
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}
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// Calculates the geometric mean.
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auto average = 1.0;
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auto factor = 1 / static_cast<double>(cycles.size());
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for (auto cycle: cycles) {
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average *= std::pow(static_cast<double>(cycle), factor);
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}
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average = std::pow(average, 1 / static_cast<double>(cycles.size()));
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std::cout << "[AVERAGE] " << average << std::endl;
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return 0;
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