Constant Propagation in Compiler Design
Constant Propagation is one of the local code optimization technique in Compiler Design. It can be defined as the process of replacing the constant value of variables in the expression. In simpler words, we can say that if some value is assigned a known constant, than we can simply replace the that value by constant. Constants assigned to a variable can be propagated through the flow graph and can be replaced when the variable is used.
Constant propagation is executed using reaching definition analysis results in compilers, which means that if reaching definition of all variables have same assignment which assigns a same constant to the variable, then the variable has a constant value and can be substituted with the constant.
Suppose we are using pi variable and assign it value of 22/7
pi = 22/7 = 3.14
In the above code the compiler has to first perform division operation, which is an expensive operation and then assign the computed result 3.14 to the variable pi. Now if anytime we have to use this constant value of pi, then the compiler again has to look – up for the value and again perform division operation and then assign it to pi and then use it. This is not a good idea when we can directly assign the value 3.14 to pi variable, thus reducing the time needed for code to run.
Also, Constant propagation reduces the number of cases where values are directly copied from one location or variable to another, in order to simply allocate their value to another variable. For an example :
Consider the following pseudocode :
a = 30 b = 20 - a /2 c = b * ( 30 / a + 2 ) - a
We can see that in the first expression value of a have assigned a constant value that is 30. Now, when the compiler comes to execute the second expression it encounters a, so it goes up to the first expression to look for the value of a and then assign the value of 30 to a again, and then it executes the second expression. Now it comes to the third expression and encounters b and a again, and then it needs to evaluate the first and second expression again in order to compute the value of c. Thus, a needs to be propagated 3 times This procedure is very time consuming.
We can instead , rewrite the same code as :
a = 30 b = 20 - 30/2 c = b * ( 30 / 30 + 2) - 30
This updated code is faster as compared to the previous code as the compiler does not need to again and again go back to the previous expressions looking up and copying the value of a variable in order to compute the current expressions. This saves a lot of time and thus, reducing time complexity and perform operations more efficiently.
Note that this constant propagation technique behavior depends on compiler like few compilers perform constant propagation operations within the basic blocks; while a few compilers perform constant propagation operations in more complex control flow.
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