Updated performance testing category

PyTorchConference2025_GithubRepos.json

@@ -324,14 +324,14 @@
   {
     "repo_name": "cupti",
     "repo_link": "https://github.com/cwpearson/cupti",
-    "category": "performance",
+    "category": "performance testing",
     "github_about_section": "Profile how CUDA applications create and modify data in memory.",
     "github_topic_closest_fit": "profiling"
   },
   {
     "repo_name": "hatchet",
     "repo_link": "https://github.com/LLNL/hatchet",
-    "category": "performance",
+    "category": "performance testing",
     "github_about_section": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
     "homepage_link": "https://llnl-hatchet.readthedocs.io",
     "github_topic_closest_fit": "profiling"
@@ -339,7 +339,7 @@
   {
     "repo_name": "intelliperf",
     "repo_link": "https://github.com/AMDResearch/intelliperf",
-    "category": "performance",
+    "category": "performance testing",
     "github_about_section": "Automated bottleneck detection and solution orchestration",
     "homepage_link": "https://arxiv.org/html/2508.20258v1",
     "github_topic_closest_fit": "profiling"