MassiveAtoms/hashmap-bench
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This commit is contained in:
TinyAtoms 2020-02-05 09:42:40 -03:00
parent 81dc4804ec
commit 43c534f3ee
3 changed files with 34 additions and 5 deletions
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2
CMakeLists.txt
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@ -2,7 +2,7 @@ cmake_minimum_required(VERSION 3.15)
project(another_studproject)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_FLAGS "-O3 -flto=thin")
set(CMAKE_CXX_FLAGS "-O3 -flto=thin -march=native")
add_executable(another_studproject
./src/includes/generator.h
./src/generator.cpp

34
main.cpp
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@ -12,8 +12,36 @@
// we can use ^ to switch the map implementations to that
// we can add some cli handling so we can specify which maps to tests (or all)
int main() {
string_test(std::unordered_map<std::string, std::string>{}, 10);
int_test(std::unordered_map<int, int>{}, 10);
time_point<steady_clock> start_test = steady_clock::now();
string_test(std::unordered_map<std::string, std::string>{}, 1); // process gets killed for sizes >35000
int_test(std::unordered_map<int, int>{}, 1);
time_point<steady_clock> end_test = steady_clock::now();
std::cout << "1 run all tests 1 map: " << duration_cast<minutes>(end_test-start_test).count() << " minutes";
// test takes 52 mins for 10 runs for one hashmap
// so it'll take ~3 hours per map if we want 30 runs per test
/* if the other maps have about the same operation times ************
// maps to benchmark:
1. Google dense_hash_map
2. Google sparse_hash_map
3. folly F14ValueMap
4. folly F14NodeMap
5. Tessil/ordered-map
6. Tessil/array-hash
7. Tessil/hopscotch-map
8. Tessil/sparse-map/
9. abseil node_hash_map
10. abseil flat_hash_map
11. Glib GHashTable
12. Boost unordered_map
13. Qt QHash
14. skarupke/flat_hash_map
15. greg7mdp/sparsepp
16. greg7mdp /parallel-hashmap (phmap::flat_hash_map and phmap::node_hash_map)
17. emilk/emilib emilib::hashmap
18. martinus robin_hood::unordered_node_map
19. martinus/robin-hood-hashing/
20. skarupke /flat_hash_map
*/
// test takes 52 mins for 10 runs for 1 dict
}

3
src/includes/aggregate_tests.h
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@ -10,7 +10,8 @@ std::vector<int> sizes = {
50000, 100000, 150000, 200000, 250000, 300000, 350000, 400000, 500000,
600000, 700000, 800000, 900000, 1000000,
2000000, 3000000, 4000000, 5000000, 6000000, 7000000, 8000000, 9000000, 10000000,
// 15000000, 20000000, 25000000, 30000000, 35000000, 40000000, 45000000, 50000000
15000000, 20000000, 25000000, 30000000, 35000000,
40000000, 45000000, 50000000
};