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projects/activity_analysis.yml

@@ -28,19 +28,19 @@ description: |
   to Symbolic differentiation and Numerical differentiation (the method of
   finite differences).
   Clad is a source transformation based AD tool which can perform more advanced
-  program optimization by implementing more sophisticated analyses because it 
-  has access to a rich program representation – the Clang AST. These optimizations 
+  program optimization by implementing more sophisticated analyses because it
+  has access to a rich program representation – the Clang AST. These optimizations
   investigate which parts of the computation graph are relevant for the AD rules.
-  One such optimization is the To-Be-Recorded optimization which reduces the memory 
-  pressure to the clad tape data structure. TBR analysis is a part of an adjoint 
-  mode of AD. It finds variables whose present value is used in a derivative 
-  instruction and reduces the number of statements by not creating temporary variables 
-  for dependent variables that are being overwritten and not being used. Another 
-  optimization is the activity analysis optimization which discards all statements 
-  which are irrelevant for the generated code. That is, if the statements do not 
+  One such optimization is the To-Be-Recorded optimization which reduces the memory
+  pressure to the clad tape data structure. TBR analysis is a part of an adjoint
+  mode of AD. It finds variables whose present value is used in a derivative
+  instruction and reduces the number of statements by not creating temporary variables
+  for dependent variables that are being overwritten and not being used. Another
+  optimization is the activity analysis optimization which discards all statements
+  which are irrelevant for the generated code. That is, if the statements do not
   depend on the input/output variables of a routine in a differentiable way, they are
   ignored. The advantage is that this improves the performance of the generated code
-  and reduces the phase space of features needed to be supported to enable 
+  and reduces the phase space of features needed to be supported to enable
   differentiable STL, for example.
 contacts:
   - name: Maksym Andriichuk