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Dead Code Elimination

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Live Variable AnalysisCommon Subexpression Elimination (CSE)Code Optimization FundamentalsVectorization and SIMD Code Generation
optimization code-quality dead-code

Core Idea

Dead code elimination removes statements whose results are never used. An assignment to a non-live variable is dead: the value is computed but never observed. Unreachable code (after return, throw, or unconditional jump) is also dead. This optimization reduces code size and can expose further optimization opportunities. Aggressive dead-code elimination requires interprocedural analysis.

Explainer

Your prerequisite, live variable analysis, answers a precise question for every point in a program: which variables might still be read before being overwritten? A variable is live at a point if there exists some execution path from that point to a use of the variable without an intervening definition. Dead code elimination (DCE) is the optimization that exploits this information directly — if a statement computes a value that is not live after the statement, the computation is wasted work and can be removed.

Consider a concrete example. Suppose a function computes `x = a * b + c` on line 10, but x is reassigned on line 15 without being read in between, and line 10's value of x is never used on any path. Live variable analysis marks x as not live after line 10, which means the assignment is dead. The compiler deletes line 10 entirely. This is not just tidying up — it eliminates the multiplication and addition, freeing the execution unit and potentially freeing a register that was holding x. In real compilers, dead code often arises not from sloppy programming but from earlier optimization passes: constant propagation might replace all uses of a variable with a constant, leaving the original assignment dead; inlining might duplicate code where one branch becomes unreachable; and loop transformations might render intermediate computations unnecessary.

There are two distinct kinds of dead code. The first, described above, is dead assignments: statements that compute values nobody reads. The second is unreachable code: statements that no execution path can ever reach. Code after an unconditional return, code in an `if (false)` branch after constant folding, or code following an infinite loop is unreachable. Unreachable code detection uses control flow analysis rather than live variable analysis — it identifies basic blocks with no predecessors in the control flow graph (other than the entry block). Both kinds should be eliminated, but they rely on different analyses.

Dead code elimination is a cascading optimization, meaning that removing dead code can create more dead code. Deleting a dead assignment to x might make the computations of a, b, and c dead as well, if they were only used to compute x. This is why compilers typically run DCE iteratively or interleave it with other passes. Aggressive dead code elimination works in the opposite direction from the naive approach: instead of finding dead statements to delete, it starts by assuming *everything* is dead and then marks statements as live only if they contribute to observable effects — function return values, writes to memory visible outside the function, I/O operations, or stores to volatile variables. Everything not marked live is deleted. This aggressive approach naturally handles chains of dead code in a single pass and is particularly effective after inlining, where large sections of inlined code may turn out to be irrelevant in the caller's context.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraBoolean Type and Truth ValuesComparison Operators and Boolean TestsLogical Operators and Boolean AlgebraBoolean Algebra and Fundamental LawsLogic Gates FundamentalsImplementing Boolean Functions with GatesKarnaugh Map SimplificationCombinational Circuit DesignFlip-Flops and LatchesFinite State Machines (FSMs)Deterministic Finite Automata (DFA)Nondeterministic Finite Automata (NFA)Two-Way Finite AutomataNFA to DFA Conversion (Subset Construction)DFA Properties and Minimization AlgorithmsRegular Languages: Definition and CharacterizationContext-Free Grammars (CFGs)Context-Free Grammar Properties and AmbiguityParse Trees, Derivations, and Ambiguity in CFGsContext-Free Grammars in Compiler DesignAbstract Syntax Trees (ASTs)Symbol Tables and Scope ResolutionSemantic Analysis PhaseIntermediate Code RepresentationControl Flow GraphsFixpoint Computation and IterationDataflow AnalysisReaching Definitions AnalysisCommon Subexpression Elimination (CSE)Dead Code Elimination

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