Sparse conditional constant propagation

In computer science, sparse conditional constant propagation is an optimization frequently applied in compilers after conversion to static single assignment form (SSA). It simultaneously removes dead code and propagates constants throughout a program. It must be noted, however, that it is strictly more powerful than applying dead code elimination and constant propagation in any order or any number of repetitions.Fact|date=July 2008

The algorithm operates by performing abstract interpretation of the code in SSA form. During abstract interpretation, it typically uses a flat lattice of constants for values and a global environment mapping SSA variables to values in this lattice. The crux of the algorithm comes in how it handles the interpretation of branch instructions. When encountered, the condition for a branch is evaluated "as best as possible" given the precision of the abstract values bound to variables in the condition. It may be the case that the values are perfectly precise (neither top nor bottom) and hence, abstract execution can decide in which direction to branch. If the values are not constant, or a variable in the condition is undefined, then both branch directions must be taken to remain conservative.

Upon completion of the abstract interpretation, instructions which were never reached are marked as dead code. SSA variables found to have constant values may then be inlined at--propagated to--their point of use.

References

* Wegman, Mark N. and Zadeck, F. Kenneth. "Constant Propagation with Conditional Branches." "ACM Transactions on Programming Languages and Systems", 13(2), April 1991, pages 181-210.

* Cooper, Keith D. and Torczon, Linda. "Engineering a Compiler". Morgan Kaufmann. 2005.