Minor improvements

experiment_files/methodology_paper_evaluation.json

@@ -0,0 +1,76 @@
+{
+    "version": "0.1.2",
+    "name": "Methodology paper evaluation",
+    "folder_id": "methodology_paper_evaluation",
+    "kernels_path": "../cached_data_used/kernels",
+    "bruteforced_caches_path": "../cached_data_used/cachefiles",
+    "visualization_caches_path": "../cached_data_used/visualizations",
+    "kernels": [
+        "pnpoly",
+        "convolution"
+    ],
+    "GPUs": [
+        "RTX_2080_Ti",
+        "RTX_3090"
+    ],
+    "minimization": true,
+    "resolution": 1e3,
+    "cutoff_percentile": 0.96,
+    "cutoff_percentile_start": 0.5,
+    "cutoff_type": "fevals",
+    "objective_time_keys": [
+        "compilation",
+        "benchmark",
+        "framework",
+        "search_algorithm",
+        "validation"
+    ],
+    "objective_performance_keys": [
+        "time"
+    ],
+    "plot": {
+        "plot_x_value_types": [
+            "fevals",
+            "time",
+            "aggregated"
+        ],
+        "plot_y_value_types": [
+            "normalized",
+            "baseline"
+        ],
+        "confidence_level": 0.95,
+        "compare_baselines": false,
+        "compare_split_times": false
+    },
+    "strategy_defaults": {
+        "repeats": 100,
+        "minimum_number_of_evaluations": 20,
+        "stochastic": true,
+        "record_data": [
+            "time",
+            "GFLOP/s"
+        ]
+    },
+    "strategies": [
+        {
+            "name": "genetic_algorithm",
+            "strategy": "genetic_algorithm",
+            "display_name": "Genetic Algorithm"
+        },
+        {
+            "name": "particle_swarm_optimization",
+            "strategy": "pso",
+            "display_name": "PSO"
+        },
+        {
+            "name": "firefly",
+            "strategy": "firefly_algorithm",
+            "display_name": "Firefly"
+        },
+        {
+            "name": "differential_evolution",
+            "strategy": "diff_evo",
+            "display_name": "Differential Evolution"
+        }
+    ]
+}

src/autotuning_methodology/baseline.py

@@ -174,7 +174,7 @@ def get_curve_over_time(self, time_range: np.ndarray, dist=None, confidence_leve
         smoothing_factor = 0.0
         if smoothing_factor > 0.0:
             window_size = min(time_range.size, ceil(time_range.size * smoothing_factor))
-            if time_range.size > 1 and window_size < 1:
+            if time_range.size > 1 and window_size > 1:
                 curve_over_time = moving_average(curve_over_time, window_size)
         return curve_over_time