Control dependency
{{technical|date=January 2024}}
Control dependency is a situation in which a program instruction executes if the previous instruction evaluates in a way that allows its execution.
An instruction B has a control dependency on a preceding instruction A if the outcome of A determines whether B should be executed or not. In the following example, the instruction has a control dependency on instruction . However, does not depend on because is always executed irrespective of the outcome of .
S1. if (a == b)
S2. a = a + b
S3. b = a + b
Intuitively, there is control dependence between two statements A and B if
- B could be possibly executed after A
- The outcome of the execution of A will determine whether B will be executed or not.
A typical example is that there are control dependences between the condition part of an if statement and the statements in its true/false bodies.
A formal definition of control dependence can be presented as follows:
A statement is said to be control dependent on another statement iff
- there exists a path from to such that every statement ≠ within will be followed by in each possible path to the end of the program and
- will not necessarily be followed by , i.e. there is an execution path from to the end of the program that does not go through .
Expressed with the help of (post-)dominance the two conditions are equivalent to
- post-dominates all
- does not post-dominate
Construction of control dependences
Control dependences are essentially the dominance frontier in the reverse graph of the control-flow graph (CFG).{{Cite book|publisher = ACM|date = 1989-01-01|location = New York, NY, USA|isbn = 0897912942|pages = 25–35|doi = 10.1145/75277.75280|first1 = R.|last1 = Cytron|first2 = J.|last2 = Ferrante|first3 = B. K.|last3 = Rosen|first4 = M. N.|last4 = Wegman|first5 = F. K.|last5 = Zadeck| title=Proceedings of the 16th ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '89 | chapter=An efficient method of computing static single assignment form | s2cid=8301431 }} Thus, one way of constructing them, would be to construct the post-dominance frontier of the CFG, and then reversing it to obtain a control dependence graph.
The following is a pseudo-code for constructing the post-dominance frontier:
for each X in a bottom-up traversal of the post-dominator tree do:
PostDominanceFrontier(X) ← ∅
for each Y ∈ Predecessors(X) do:
if immediatePostDominator(Y) ≠ X:
then PostDominanceFrontier(X) ← PostDominanceFrontier(X) ∪ {Y}
done
for each Z ∈ Children(X) do:
for each Y ∈ PostDominanceFrontier(Z) do:
if immediatePostDominator(Y) ≠ X:
then PostDominanceFrontier(X) ← PostDominanceFrontier(X) ∪ {Y}
done
done
done
Here, Children(X) is the set of nodes in the CFG that are immediately post-dominated by {{Var|X}}, and Predecessors(X) are the set of nodes in the CFG that directly precede {{Var|X}} in the CFG.
Note that node {{Var|X}} shall be processed only after all its Children have been processed.
Once the post-dominance frontier map is computed, reversing it will result in a map from the nodes in the CFG to the nodes that have a control dependence on them.
See also
References
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