Bigger dimensions

run_microbenchmarks.py

@@ -0,0 +1,36 @@
+import dataclasses
+import json
+import polars as pl
+import subprocess
+
+from config import Configuration, Statistics
+
+workloads = [
+    "vadd",
+    "vmul",
+    "haxpy",
+    "gemv",
+    "gemv_layers"
+]
+
+levels = ["X1", "X2", "X3", "X4"]
+
+results: list[dict] = []
+
+for workload in workloads:
+    for level in levels:
+        config = Configuration(workload, level)
+        serialized_config = json.dumps(dataclasses.asdict(config))
+
+        out = subprocess.run(
+            ["python3", "benches.py", serialized_config], capture_output=True
+        )
+
+        statistics = Statistics(**json.loads(out.stdout))
+
+        result = {"workload": workload, "level": level, "runtime": statistics.runtime}
+        results.append(result)
+        print(result)
+
+df = pl.DataFrame(results)
+df.write_csv("rocm_results.csv")