profilage_code.md

@@ -318,6 +318,8 @@ paraprof profile.0.0.0 &
 
 ### Profile with Score-P
 
+#### Compiler instrumentation
+
 To profile a code with Score-P, you first need to define some environment variables:
 
 ```
@@ -385,6 +387,49 @@ paraprof scorep-20250310_1624_81500554863145/profile.cubex &
 
 > **Note**: `.cubex` files can also be analysed using the Cube software, available as an App Image [here](https://apps.fz-juelich.de/scalasca/releases/cube/4.8/dist/CubeGUI-4.8.2.AppImage): `CubeGUI-4.8.2.AppImage scorep-20250310_1624_81500554863145/profile.cubex &`
 
+#### Manual instrumentation
+
+You can add manual instrumentation within a code. For instance:
+
+```
+#ifdef SCOREP
+#include <scorep/SCOREP_User.h>
+#endif
+
+
+using namespace std;
+
+void toto() {
+
+    int num, sum;
+    sum = 0;
+
+    num = 100000;
+
+#ifdef SCOREP
+    SCOREP_USER_REGION_DEFINE( my_region_handle )
+    SCOREP_USER_REGION_BEGIN(my_region_handle, "loop_1", SCOREP_USER_REGION_TYPE_LOOP)
+#endif
+
+    for (int i = 1; i <= num; ++i) {
+        sum += i;
+    }
+
+#ifdef SCOREP
+    SCOREP_USER_REGION_END( my_region_handle )
+#endif
+
+    cout << "Sum = " << sum << endl;
+}
+
+```
+
+To compile this instrumented code, you need to use the `--user` argument as follows:
+
+```
+scorep --user g++ -DSCOREP -I$BOOST_ROOT test_cpp.cpp
+```
+
 ### Profile with Scalasca
 
 To profile a code with Scalasca, you need to compile the code by replacing: