Moved the SME ET LP to the right category and index file changes

Author: pareenaverma

…/sme-executorch-profiling/01-overview.md …/sme-executorch-profiling/01-overview.mdcontent/learning-paths/embedded-and-microcontrollers/sme-executorch-profiling/01-overview.md renamed to content/learning-paths/cross-platform/sme-executorch-profiling/01-overview.md content/learning-paths/embedded-and-microcontrollers/sme-executorch-profiling/01-overview.md renamed to content/learning-paths/cross-platform/sme-executorch-profiling/01-overview.md

@@ -1,9 +1,12 @@
 ---
 title: Revealing latent ExecuTorch latency after SME2 acceleration
+
 draft: true
 cascade:
     draft: true
+
 minutes_to_complete: 90
+
 who_is_this_for: Developers and performance engineers deploying ExecuTorch models on Arm devices who face latency challenges or want to use more advanced models. When end-to-end latency isn't meeting targets, operator-level performance analysis is the essential first step to understand where time is spent and make informed optimization decisions. This learning path guides you through analyzing performance with SME2 acceleration to identify optimization opportunities and achieve better performance.
 learning_objectives:
   - Understand how SME2 acceleration transforms ML performance by revealing operator-level bottlenecks that were previously hidden behind compute constraints
@@ -30,6 +33,11 @@ operatingsystems:
   - macOS
   - Android
 
+shared_path: true
+shared_between:
+    - laptops-and-desktops
+    - mobile-graphics-and-gaming
+
 further_reading:
   - resource:
       title: ExecuTorch documentation