Add GPU strong scaling measurement files

experiments/eval/scripts/build-pgf-datafiles.py

@@ -27,6 +27,7 @@ if __name__ == "__main__":
     scaling_spec = {
         "label": lambda job: job["accounting"][0]["nodes"]["count"],
         "nodes": lambda job: job["accounting"][0]["nodes"]["count"],
+        "tasks": lambda job: job["accounting"][0]["tasks"]["count"],
         "mean_time": lambda job: job["means"]["TimeStep"],
         "std_time": lambda job: job["stds"]["TimeStep"],
         "speedup": lambda job: jobs[0]["means"]["TimeStep"] / job["means"]["TimeStep"],

experiments/eval/scripts/generate-strong-gpu-configs.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python
+
+import copy
+import json
+
+from pathlib import Path
+
+SIZE = [384, 384, 384]
+
+with (Path(__file__).parent.parent / "templates" / "strong-gpu.json").open(encoding="utf8") as f:
+    template = json.load(f)
+
+configs = [
+    [  1,  1,  1],
+    [  1,  1,  2],
+    [  1,  2,  2],
+    [  2,  2,  2],
+    [  2,  2,  4],
+    [  2,  4,  4],
+    [  4,  4,  4],
+    [  4,  4,  8],
+]
+
+out_path = Path(__file__).parent.parent / "generated" / "config"
+
+for c in configs:
+    nc = copy.deepcopy(template)
+    nc["Geometry"]["blockcount"] = c
+    nc["Geometry"]["blocksize"] = [bs // bc for bc, bs in zip(c, SIZE)]
+
+    nc_out_path = out_path / f"strong-gpu-{c[0]:02}-{c[1]:02}-{c[2]:02}.json"
+    print(f"Dumping {(c[0] * c[1] * c[2])} to {nc_out_path}")
+    with nc_out_path.open("w", encoding="utf8") as f:
+        json.dump(nc, f)