Value numbering

Value numbering is a technique of determining when two computations in a program are equivalent and eliminating one of them with a semantics-preserving optimization.

Global value numbering

Global value numbering (GVN) is a compiler optimization based on the static single assignment form (SSA) intermediate representation. It sometimes helps eliminate redundant code that common subexpression elimination (CSE) does not. At the same time, however, CSE may eliminate code that GVN does not, so both are often found in modern compilers. Global value numbering is distinct from local value numbering in that the value-number mappings hold across basic block boundaries as well, and different algorithms are used to compute the mappings.

Global value numbering works by assigning a value number to variables and expressions. The same value number is assigned to those variables and expressions which are probably equivalent. For instance, in the following code:

w := 3
x := 3
y := x + 4
z := w + 4

a good GVN routine would assign the same value number to w and x, and the same value number to y and z. For instance, the map $\left\{{w}\mapsto 1,{x}\mapsto 1,{y}\mapsto 2,{z}\mapsto 2\right\}$ would constitute an optimal value-number mapping for this block. Using this information, the previous code fragment may be safely transformed into:

w := 3
x := w
y := w + 4
z := y

Depending on the code following this fragment, copy propagation may be able to remove the assignments to x and to z.

The reason that GVN is sometimes more powerful than CSE comes from the fact that CSE matches lexically identical expressions whereas the GVN tries to determine an underlying equivalence. For instance, in the code:

a := c × d
e := c
f := e × d

Without copy propagation, CSE would not eliminate the recomputation assigned to f, but even a poor GVN algorithm should discover and eliminate this redundancy.

In IRs and source languages where rebinding (assigning to the same variable more than once) is possible, SSA form is required to perform GVN so that false $\left\{{\text{variable name}}\mapsto {\text{value number}}\right\}$ mappings are not created.

Local value numbering

Local value numbering (LVN) is a compiler optimization that aims to find multiple instances of equivalent expressions (i.e. expressions which yield the same result) and replace them with the first occurrence. LVN is a local optimization, meaning that unlike global value numbering, it operates on a single basic block at a time.

Local value numbering works by assigning a unique number to each operation and remembering these associations. Subsequent instructions are then looked up and, in case an identical instruction has already been registered, replaced with the previous instruction's result. For example:

a ← 4         a is tagged as #1
b ← 5         b is tagged as #2
c ← a + b     c (#1 + #2) is tagged as #3
d ← 5         d is tagged as #2, the same as b
e ← a + d     e, being '#1 + #2' is tagged as #3

By assigning numbers to instructions, comparing for duplicates is turned into simple integer comparisons. In this particular example, c and e are assigned the same number (#3), thus signalling to the compiler that any references to e may simply be replaced with ones to c.

Difficulties and extensions

Issues when not using SSA

A naive implementation might attempt to perform the optimization by directly using the variable names instead of numbers. However, this approach does not work when the values of variables can change. Consider the pseudocode:

a ← 1         a is tagged as #1
b ← 2         b is tagged as #2
c ← a + b     c is tagged as #3
b ← 3
d ← a + b     d is incorrectly tagged as #3

In this scenario, d is incorrectly assigned the number 3 because the arguments match those of c. This is incorrect, however, because b has changed value from 2 to 3, making the actual results differ. Using the SSA representation resolves this disparity.

Using mathematical identities

A simple implementation might also be unable to catch all equivalent expressions, even when they only differ by the order of their operands. In the following example, a and b could be assigned the same number:

a ← 1 + 2
b ← 2 + 1

This issue can easily be resolved either by assigning the same number to both cases (i.e. a + b and b + a are both recorded with the same number) or by sorting the operands before checking for equivalents.^[1]

Local value numbering optimizers may also be aware of mathematical identities. Assuming a is an integer, all of the following expressions can be assigned the same value:^[2]

b ← a + 0
c ← a * 1
d ← min(a, MAX_INT)
e ← max(a, a)
f ← a & 0xFF..FF       (assuming '&' denotes bitwise AND)

References

^ Cooper, Keith D.; Torczon, Linda. "Terminology, Principles, and Concerns (with examples from local value numbering)". elsevier. Retrieved 15 May 2017.
^ Cooper, Keith D.; Torczon, Linda. "Local Optimization: Value Numbering" (PDF). Rice University. Retrieved 15 May 2017.

v t e Compiler optimizations
Basic block	Peephole optimization Local value numbering
Loop	Automatic parallelization Automatic vectorization Induction variable Loop fusion Loop-invariant code motion Loop inversion Loop interchange Loop nest optimization Loop splitting Loop unrolling Loop unswitching Software pipelining Strength reduction
Data-flow analysis	Available expression Common subexpression elimination Constant folding Dead store elimination Induction variable recognition and elimination Live-variable analysis Upwards exposed uses Use-define chain Reaching definitions
SSA-based	Global value numbering Sparse conditional constant propagation
Code generation	Instruction scheduling Instruction selection Register allocation Rematerialization
Functional	Deforestation Tail-call elimination
Global	Interprocedural optimization
Other	Bounds-checking elimination Compile-time function execution Dead-code elimination Expression templates Inline expansion Jump threading Partial evaluation Profile-guided optimization
Static analysis	Alias analysis Array-access analysis Control-flow analysis Data-flow analysis Dependence analysis Escape analysis Pointer analysis Shape analysis Value range analysis