done

CMakeLists.txt

@@ -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

main.cpp

@@ -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
 }

src/includes/aggregate_tests.h

@@ -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
 };