fix mistake in benchmark descriptors for smart peak performance

1 year ago · 791184ff10
65 changed files with 316 additions and 256 deletions
--- a/benchmarks/benchmark-descriptors/modifier.py
+++ b/benchmarks/benchmark-descriptors/modifier.py
@ -0,0 +1,60 @@
+import os
+import json
+import shutil
+import copy
+
+def make_new_list(old,size):
+    entry = old[0]
+    new_list = []
+    for i in range(size): new_list.append(copy.deepcopy(entry))
+    return new_list
+
+def process_json_file(file_path):
+    with open(file_path, 'r') as f:
+        json_data = json.load(f)
+
+        v_src = json_data["list"][0]["affinity"]["nnode_src"]
+        v_dst = json_data["list"][0]["affinity"]["nnode_dst"]
+
+        # Adjust v_src and v_dst based on HBM memory
+        v_src = v_src - 8 if v_src >= 8 else v_src
+        v_dst = v_dst - 8 if v_dst >= 8 else v_dst
+
+        if (0 <= v_src <= 3 and 0 <= v_dst <= 3):
+            list_size = 4
+            json_data["list"] = make_new_list(json_data["list"], list_size)
+            json_data["count"] = list_size
+            json_data["list"][0]["affinity"]["node"] = 0
+            json_data["list"][1]["affinity"]["node"] = 1
+            json_data["list"][2]["affinity"]["node"] = 2
+            json_data["list"][3]["affinity"]["node"] = 3
+        elif (4 <= v_src <= 7 and 4 <= v_dst <= 7):
+            list_size = 4
+            json_data["list"] = make_new_list(json_data["list"], list_size)
+            json_data["count"] = list_size
+            json_data["list"][0]["affinity"]["node"] = 4
+            json_data["list"][1]["affinity"]["node"] = 5
+            json_data["list"][2]["affinity"]["node"] = 6
+            json_data["list"][3]["affinity"]["node"] = 7
+        else:
+            # Case B: inter-socket operation
+            list_size = 2
+            json_data["list"] = make_new_list(json_data["list"], list_size)
+            json_data["count"] = list_size
+            json_data["list"][0]["affinity"]["node"] = v_src
+            json_data["list"][1]["affinity"]["node"] = v_dst
+
+    # Save modified JSON back to file
+    with open(file_path, 'w') as f:
+        json.dump(json_data, f, indent=2)
+
+def process_files_in_folder(folder_path):
+    for filename in os.listdir(folder_path):
+        file_path = os.path.join(folder_path, filename)
+        if os.path.isfile(file_path) and filename.endswith('.json'):
+            if "copy-n" in filename and "ton" in filename and "-1gib-smart.json" in filename:
+                process_json_file(file_path)
+
+if __name__ == "__main__":
+    folder_path = "./benchmark-descriptors/peak-perf-smart/"
+    process_files_in_folder(folder_path)
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton12-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton12-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton13-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton13-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton14-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton14-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton15-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton15-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton4-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton4-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton5-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton5-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton6-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton6-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton7-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n12ton7-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 12,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 12,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 12,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 12,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton12-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton12-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton13-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton13-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton14-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton14-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton15-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton15-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 15,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton4-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton4-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 4,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton5-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton5-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 5,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton6-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton6-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton7-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n13ton7-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 13,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 13,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 13,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 13,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton12-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton12-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 14,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 14,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 14,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 12,
        "nnode_src": 14,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton13-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton13-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 14,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 14,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 14,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 13,
        "nnode_src": 14,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton14-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton14-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 14,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 14,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 14,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 14,
        "nnode_src": 14,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n14ton15-1gib-smart.json
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@ -50,7 +50,7 @@
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@ -35,7 +35,7 @@
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--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n6ton12-1gib-smart.json
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@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 7,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 6,
        "nnode_src": 7,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {
--- a/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n7ton7-1gib-smart.json
+++ b/benchmarks/benchmark-descriptors/peak-perf-smart/copy-n7ton7-1gib-smart.json
@ -5,7 +5,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 7,
-        "node": 0
+        "node": 4
      },
      "task": {
        "batching": {
@ -20,7 +20,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 7,
-        "node": 2
+        "node": 5
      },
      "task": {
        "batching": {
@ -35,7 +35,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 7,
-        "node": 4
+        "node": 6
      },
      "task": {
        "batching": {
@ -50,7 +50,7 @@
      "affinity": {
        "nnode_dst": 7,
        "nnode_src": 7,
-        "node": 6
+        "node": 7
      },
      "task": {
        "batching": {