PMUV3 Learning path changes

Author: GayathriNarayana19

content/learning-paths/servers-and-cloud-computing/PMUv3_plugin_learning_path/_index.md

@@ -1,14 +1,14 @@
 ---
-title: Performance analysis at a code level using PMUv3_plugin 
+title: Code level Performance Analysis using PMUv3_plugin 
 
 minutes_to_complete: 60
 
 who_is_this_for: Engineers working on a workload/codebase to carry out performance analysis at code block level.
 
 learning_objectives: 
-    - Get a fine-grained and precise measurement of functions handling a specific task. 
+    - Get a fine-grained and precise measurement of functions or chunk of code handling a specific task. 
     - Instrument at a code/function level by choosing one of the 4 scenarios detailed in this learning path. 
-    - Run and collect the CSV of all the 15 bundles in one shot.
+    - Run and collect the performance metrics as well as raw event values of 15 groups/bundles of PMUs in one shot.
     - Use the backend tool to plot raw PMU event values along with the KPI/metric values like MPKI, stalls, IPC and many more, thus helping in performance analysis tasks. 
 
 prerequisites:

content/learning-paths/servers-and-cloud-computing/PMUv3_plugin_learning_path/_next-steps.md

@@ -5,18 +5,17 @@ recommended_path: /learning-paths/servers-and-cloud-computing/pmuv3_plugin_learn
 
 further_reading:
     - resource:
-        title: PLACEHOLDER MANUAL 
-        link: PLACEHOLDER MANUAL LINK
+        title: Arm Neoverse N2 PMU Guide
+        link: https://developer.arm.com/documentation/PJDOC-466751330-590448/2-0/?lang=en
         type: documentation
     - resource:
-        title: PLACEHOLDER BLOG 
-        link: PLACEHOLDER BLOG LINK
-        type: blog
+        title: Arm CPU Telemetry Solution Topdown Methodology Specification
+        link: https://developer.arm.com/documentation/109542/0100/?lang=en
+        type: documentation
     - resource:
-        title: PLACEHOLDER GENERAL WEBSITE 
-        link: PLACEHOLDER GENERAL WEBSITE LINK
-        type: website
-
+        title: Arm Neoverse N2 Core Telemetry Specification
+        link: https://developer.arm.com/documentation/109215/0200/?lang=en
+        type: documentation
 
 # ================================================================================
 #       FIXED, DO NOT MODIFY

content/learning-paths/servers-and-cloud-computing/PMUv3_plugin_learning_path/instrumentation.md

@@ -118,8 +118,6 @@ shutdown_resources();
 process_data(cur_bundle_no);
 ```
 
----
-
 ## Scenario II – Instrumentation Around Single Code block in C++ codebase
 
 For Pmuv3_Bundles Instrumentation "SINGLE CHUNK OF CODE" in  C++ CODEBASE, refer the below steps.
@@ -228,7 +226,6 @@ process_data(cur_bundle_no);
 ```yaml
 shutdown_resources();
 ```
----
 
 ## Scenario IV – Instrumentation around single code blocks in C codebase
 For Pmuv3_Bundles Instrumentation in a C Codebase around a Single Chunk Of Code, refer below steps.

content/learning-paths/servers-and-cloud-computing/PMUv3_plugin_learning_path/intro.md

@@ -5,7 +5,7 @@ weight: 2
 ### FIXED, DO NOT MODIFY
 layout: learningpathall
 ---
-## Introduction to the PMUv3 Plugin
+## Why should one use PMUv3 Plugin?
 
 There is a way to measure profiling of the target application as a whole box, but sometimes we need to add the instrumentation into the code itself to get more fine-grained and precise measurement of the functions handling a specific task we are interested to know its performance. For that intention, we developed the PMUv3 Plugin to allow the users to do so. This performance monitoring plugin helps to do performance analysis based on the Hardware events available in PMUV3.