This document serves as a high level summary of the optimization features that LLVM provides. Optimizations are implemented as Passes that traverse some portion of a program to either collect information or transform the program. The table below divides the passes that LLVM provides into three categories. Analysis passes compute information that other passes can use or for debugging or program visualization purposes. Transform passes can use (or invalidate) the analysis passes. Transform passes all mutate the program in some way. Utility passes provides some utility but don't otherwise fit categorization. For example passes to extract functions to bitcode or write a module to bitcode are neither analysis nor transform passes.

The table below provides a quick summary of each pass and links to the more complete pass description later in the document.

ANALYSIS PASSES
Option	Name
-aa-eval	Exhaustive Alias Analysis Precision Evaluator
-anders-aa	Andersen's Interprocedural Alias Analysis
-basicaa	Basic Alias Analysis (default AA impl)
-basiccg	Basic CallGraph Construction
-basicvn	Basic Value Numbering (default GVN impl)
-callgraph	Print a call graph
-callscc	Print SCCs of the Call Graph
-cfgscc	Print SCCs of each function CFG
-codegenprepare	Optimize for code generation
-count-aa	Count Alias Analysis Query Responses
-debug-aa	AA use debugger
-domfrontier	Dominance Frontier Construction
-domtree	Dominator Tree Construction
-externalfnconstants	Print external fn callsites passed constants
-globalsmodref-aa	Simple mod/ref analysis for globals
-instcount	Counts the various types of Instructions
-intervals	Interval Partition Construction
-load-vn	Load Value Numbering
-loops	Natural Loop Construction
-memdep	Memory Dependence Analysis
-no-aa	No Alias Analysis (always returns 'may' alias)
-no-profile	No Profile Information
-postdomfrontier	Post-Dominance Frontier Construction
-postdomtree	Post-Dominator Tree Construction
-print	Print function to stderr
-print-alias-sets	Alias Set Printer
-print-callgraph	Print Call Graph to 'dot' file
-print-cfg	Print CFG of function to 'dot' file
-print-cfg-only	Print CFG of function to 'dot' file (with no function bodies)
-printm	Print module to stderr
-printusedtypes	Find Used Types
-profile-loader	Load profile information from llvmprof.out
-scalar-evolution	Scalar Evolution Analysis
-targetdata	Target Data Layout
TRANSFORM PASSES
Option	Name
-adce	Aggressive Dead Code Elimination
-argpromotion	Promote 'by reference' arguments to scalars
-block-placement	Profile Guided Basic Block Placement
-break-crit-edges	Break critical edges in CFG
-cee	Correlated Expression Elimination
-condprop	Conditional Propagation
-constmerge	Merge Duplicate Global Constants
-constprop	Simple constant propagation
-dce	Dead Code Elimination
-deadargelim	Dead Argument Elimination
-deadtypeelim	Dead Type Elimination
-die	Dead Instruction Elimination
-dse	Dead Store Elimination
-gcse	Global Common Subexpression Elimination
-globaldce	Dead Global Elimination
-globalopt	Global Variable Optimizer
-gvn	Global Value Numbering
-gvnpre	Global Value Numbering/Partial Redundancy Elimination
-indmemrem	Indirect Malloc and Free Removal
-indvars	Canonicalize Induction Variables
-inline	Function Integration/Inlining
-insert-block-profiling	Insert instrumentation for block profiling
-insert-edge-profiling	Insert instrumentation for edge profiling
-insert-function-profiling	Insert instrumentation for function profiling
-insert-null-profiling-rs	Measure profiling framework overhead
-insert-rs-profiling-framework	Insert random sampling instrumentation framework
-instcombine	Combine redundant instructions
-internalize	Internalize Global Symbols
-ipconstprop	Interprocedural constant propagation
-ipsccp	Interprocedural Sparse Conditional Constant Propagation
-lcssa	Loop-Closed SSA Form Pass
-licm	Loop Invariant Code Motion
-loop-extract	Extract loops into new functions
-loop-extract-single	Extract at most one loop into a new function
-loop-index-split	Index Split Loops
-loop-reduce	Loop Strength Reduction
-loop-rotate	Rotate Loops
-loop-unroll	Unroll loops
-loop-unswitch	Unswitch loops
-loopsimplify	Canonicalize natural loops
-lower-packed	lowers packed operations to operations on smaller packed datatypes
-lowerallocs	Lower allocations from instructions to calls
-lowergc	Lower GC intrinsics, for GCless code generators
-lowerinvoke	Lower invoke and unwind, for unwindless code generators
-lowerselect	Lower select instructions to branches
-lowersetjmp	Lower Set Jump
-lowerswitch	Lower SwitchInst's to branches
-mem2reg	Promote Memory to Register
-mergereturn	Unify function exit nodes
-predsimplify	Predicate Simplifier
-prune-eh	Remove unused exception handling info
-raiseallocs	Raise allocations from calls to instructions
-reassociate	Reassociate expressions
-reg2mem	Demote all values to stack slots
-scalarrepl	Scalar Replacement of Aggregates
-sccp	Sparse Conditional Constant Propagation
-simplify-libcalls	Simplify well-known library calls
-simplifycfg	Simplify the CFG
-strip	Strip all symbols from a module
-tailcallelim	Tail Call Elimination
-tailduplicate	Tail Duplication
UTILITY PASSES
Option	Name
-deadarghaX0r	Dead Argument Hacking (BUGPOINT USE ONLY; DO NOT USE)
-extract-blocks	Extract Basic Blocks From Module (for bugpoint use)
-preverify	Preliminary module verification
-verify	Module Verifier
-view-cfg	View CFG of function
-view-cfg-only	View CFG of function (with no function bodies)

This section describes the LLVM Analysis Passes.

This is a simple N^2 alias analysis accuracy evaluator. Basically, for each function in the program, it simply queries to see how the alias analysis implementation answers alias queries between each pair of pointers in the function.

This is inspired and adapted from code by: Naveen Neelakantam, Francesco Spadini, and Wojciech Stryjewski.

This is an implementation of Andersen's interprocedural alias analysis

In pointer analysis terms, this is a subset-based, flow-insensitive, field-sensitive, and context-insensitive algorithm pointer algorithm.

This algorithm is implemented as three stages:

1. Object identification.
2. Inclusion constraint identification.
3. Offline constraint graph optimization.
4. Inclusion constraint solving.

The object identification stage identifies all of the memory objects in the program, which includes globals, heap allocated objects, and stack allocated objects.

The inclusion constraint identification stage finds all inclusion constraints in the program by scanning the program, looking for pointer assignments and other statements that effect the points-to graph. For a statement like A = B, this statement is processed to indicate that A can point to anything that B can point to. Constraints can handle copies, loads, and stores, and address taking.

The offline constraint graph optimization portion includes offline variable substitution algorithms intended to computer pointer and location equivalences. Pointer equivalences are those pointers that will have the same points-to sets, and location equivalences are those variables that always appear together in points-to sets.

The inclusion constraint solving phase iteratively propagates the inclusion constraints until a fixed point is reached. This is an O(n³) algorithm.

Function constraints are handled as if they were structs with X fields. Thus, an access to argument X of function Y is an access to node index getNode(Y) + X. This representation allows handling of indirect calls without any issues. To wit, an indirect call Y(a,b) is equivalent to *(Y + 1) = a, *(Y + 2) = b. The return node for a function F is always located at getNode(F) + CallReturnPos. The arguments start at getNode(F) + CallArgPos.

This is the default implementation of the Alias Analysis interface that simply implements a few identities (two different globals cannot alias, etc), but otherwise does no analysis.

Yet to be written.

This is the default implementation of the ValueNumbering interface. It walks the SSA def-use chains to trivially identify lexically identical expressions. This does not require any ahead of time analysis, so it is a very fast default implementation.

This pass, only available in opt, prints the call graph to standard output in a human-readable form.

This pass, only available in opt, prints the SCCs of the call graph to standard output in a human-readable form.

This pass, only available in opt, prints the SCCs of each function CFG to standard output in a human-readable form.

This pass munges the code in the input function to better prepare it for SelectionDAG-based code generation. This works around limitations in it's basic-block-at-a-time approach. It should eventually be removed.

A pass which can be used to count how many alias queries are being made and how the alias analysis implementation being used responds.

This simple pass checks alias analysis users to ensure that if they create a new value, they do not query AA without informing it of the value. It acts as a shim over any other AA pass you want.

Yes keeping track of every value in the program is expensive, but this is a debugging pass.

This pass is a simple dominator construction algorithm for finding forward dominator frontiers.

This pass is a simple dominator construction algorithm for finding forward dominators.

This pass, only available in opt, prints out call sites to external functions that are called with constant arguments. This can be useful when looking for standard library functions we should constant fold or handle in alias analyses.

This simple pass provides alias and mod/ref information for global values that do not have their address taken, and keeps track of whether functions read or write memory (are "pure"). For this simple (but very common) case, we can provide pretty accurate and useful information.

This pass collects the count of all instructions and reports them

This analysis calculates and represents the interval partition of a function, or a preexisting interval partition.

In this way, the interval partition may be used to reduce a flow graph down to its degenerate single node interval partition (unless it is irreducible).

This pass value numbers load and call instructions. To do this, it finds lexically identical load instructions, and uses alias analysis to determine which loads are guaranteed to produce the same value. To value number call instructions, it looks for calls to functions that do not write to memory which do not have intervening instructions that clobber the memory that is read from.

This pass builds off of another value numbering pass to implement value numbering for non-load and non-call instructions. It uses Alias Analysis so that it can disambiguate the load instructions. The more powerful these base analyses are, the more powerful the resultant value numbering will be.

This analysis is used to identify natural loops and determine the loop depth of various nodes of the CFG. Note that the loops identified may actually be several natural loops that share the same header node... not just a single natural loop.

An analysis that determines, for a given memory operation, what preceding memory operations it depends on. It builds on alias analysis information, and tries to provide a lazy, caching interface to a common kind of alias information query.

Always returns "I don't know" for alias queries. NoAA is unlike other alias analysis implementations, in that it does not chain to a previous analysis. As such it doesn't follow many of the rules that other alias analyses must.

The default "no profile" implementation of the abstract ProfileInfo interface.

This pass is a simple post-dominator construction algorithm for finding post-dominator frontiers.

This pass is a simple post-dominator construction algorithm for finding post-dominators.

The PrintFunctionPass class is designed to be pipelined with other FunctionPasses, and prints out the functions of the module as they are processed.

Yet to be written.

This pass, only available in opt, prints the call graph into a .dot graph. This graph can then be processed with the "dot" tool to convert it to postscript or some other suitable format.

This pass, only available in opt, prints the control flow graph into a .dot graph. This graph can then be processed with the "dot" tool to convert it to postscript or some other suitable format.

This pass, only available in opt, prints the control flow graph into a .dot graph, omitting the function bodies. This graph can then be processed with the "dot" tool to convert it to postscript or some other suitable format.

This pass simply prints out the entire module when it is executed.

This pass is used to seek out all of the types in use by the program. Note that this analysis explicitly does not include types only used by the symbol table.

A concrete implementation of profiling information that loads the information from a profile dump file.

The ScalarEvolution analysis can be used to analyze and catagorize scalar expressions in loops. It specializes in recognizing general induction variables, representing them with the abstract and opaque SCEV class. Given this analysis, trip counts of loops and other important properties can be obtained.

This analysis is primarily useful for induction variable substitution and strength reduction.

Provides other passes access to information on how the size and alignment required by the the target ABI for various data types.

This section describes the LLVM Transform Passes.

ADCE aggressively tries to eliminate code. This pass is similar to DCE but it assumes that values are dead until proven otherwise. This is similar to SCCP, except applied to the liveness of values.

This pass promotes "by reference" arguments to be "by value" arguments. In practice, this means looking for internal functions that have pointer arguments. If it can prove, through the use of alias analysis, that an argument is *only* loaded, then it can pass the value into the function instead of the address of the value. This can cause recursive simplification of code and lead to the elimination of allocas (especially in C++ template code like the STL).

This pass also handles aggregate arguments that are passed into a function, scalarizing them if the elements of the aggregate are only loaded. Note that it refuses to scalarize aggregates which would require passing in more than three operands to the function, because passing thousands of operands for a large array or structure is unprofitable!

Note that this transformation could also be done for arguments that are only stored to (returning the value instead), but does not currently. This case would be best handled when and if LLVM starts supporting multiple return values from functions.

This pass is a very simple profile guided basic block placement algorithm. The idea is to put frequently executed blocks together at the start of the function and hopefully increase the number of fall-through conditional branches. If there is no profile information for a particular function, this pass basically orders blocks in depth-first order.

Break all of the critical edges in the CFG by inserting a dummy basic block. It may be "required" by passes that cannot deal with critical edges. This transformation obviously invalidates the CFG, but can update forward dominator (set, immediate dominators, tree, and frontier) information.

Correlated Expression Elimination propagates information from conditional branches to blocks dominated by destinations of the branch. It propagates information from the condition check itself into the body of the branch, allowing transformations like these for example:

if (i == 7)
  ... 4*i;  // constant propagation

M = i+1; N = j+1;
if (i == j)
  X = M-N;  // = M-M == 0;

This is called Correlated Expression Elimination because we eliminate or simplify expressions that are correlated with the direction of a branch. In this way we use static information to give us some information about the dynamic value of a variable.

This pass propagates information about conditional expressions through the program, allowing it to eliminate conditional branches in some cases.

Merges duplicate global constants together into a single constant that is shared. This is useful because some passes (ie TraceValues) insert a lot of string constants into the program, regardless of whether or not an existing string is available.

This file implements constant propagation and merging. It looks for instructions involving only constant operands and replaces them with a constant value instead of an instruction. For example:

add i32 1, 2

becomes

i32 3

NOTE: this pass has a habit of making definitions be dead. It is a good idea to to run a DIE (Dead Instruction Elimination) pass sometime after running this pass.

Dead code elimination is similar to dead instruction elimination, but it rechecks instructions that were used by removed instructions to see if they are newly dead.

This pass deletes dead arguments from internal functions. Dead argument elimination removes arguments which are directly dead, as well as arguments only passed into function calls as dead arguments of other functions. This pass also deletes dead arguments in a similar way.

This pass is often useful as a cleanup pass to run after aggressive interprocedural passes, which add possibly-dead arguments.

This pass is used to cleanup the output of GCC. It eliminate names for types that are unused in the entire translation unit, using the find used types pass.

Dead instruction elimination performs a single pass over the function, removing instructions that are obviously dead.

A trivial dead store elimination that only considers basic-block local redundant stores.

This pass is designed to be a very quick global transformation that eliminates global common subexpressions from a function. It does this by using an existing value numbering implementation to identify the common subexpressions, eliminating them when possible.

This transform is designed to eliminate unreachable internal globals from the program. It uses an aggressive algorithm, searching out globals that are known to be alive. After it finds all of the globals which are needed, it deletes whatever is left over. This allows it to delete recursive chunks of the program which are unreachable.

This pass transforms simple global variables that never have their address taken. If obviously true, it marks read/write globals as constant, deletes variables only stored to, etc.

This pass performs global value numbering to eliminate fully redundant instructions. It also performs simple dead load elimination.

This pass performs a hybrid of global value numbering and partial redundancy elimination, known as GVN-PRE. It performs partial redundancy elimination on values, rather than lexical expressions, allowing a more comprehensive view the optimization. It replaces redundant values with uses of earlier occurences of the same value. While this is beneficial in that it eliminates unneeded computation, it also increases register pressure by creating large live ranges, and should be used with caution on platforms that are very sensitive to register pressure.

This pass finds places where memory allocation functions may escape into indirect land. Some transforms are much easier (aka possible) only if free or malloc are not called indirectly.

Thus find places where the address of memory functions are taken and construct bounce functions with direct calls of those functions.

This transformation analyzes and transforms the induction variables (and computations derived from them) into simpler forms suitable for subsequent analysis and transformation.

This transformation makes the following changes to each loop with an identifiable induction variable:

1. All loops are transformed to have a single canonical induction variable which starts at zero and steps by one.
2. The canonical induction variable is guaranteed to be the first PHI node in the loop header block.
3. Any pointer arithmetic recurrences are raised to use array subscripts.

If the trip count of a loop is computable, this pass also makes the following changes:

1. The exit condition for the loop is canonicalized to compare the induction value against the exit value. This turns loops like:

   for (i = 7; i*i < 1000; ++i)

   into

   for (i = 0; i != 25; ++i)

2. Any use outside of the loop of an expression derived from the indvar is changed to compute the derived value outside of the loop, eliminating the dependence on the exit value of the induction variable. If the only purpose of the loop is to compute the exit value of some derived expression, this transformation will make the loop dead.

This transformation should be followed by strength reduction after all of the desired loop transformations have been performed. Additionally, on targets where it is profitable, the loop could be transformed to count down to zero (the "do loop" optimization).

Bottom-up inlining of functions into callees.

This pass instruments the specified program with counters for basic block profiling, which counts the number of times each basic block executes. This is the most basic form of profiling, which can tell which blocks are hot, but cannot reliably detect hot paths through the CFG.

Note that this implementation is very naïve. Control equivalent regions of the CFG should not require duplicate counters, but it does put duplicate counters in.

This pass instruments the specified program with counters for edge profiling. Edge profiling can give a reasonable approximation of the hot paths through a program, and is used for a wide variety of program transformations.

Note that this implementation is very naïve. It inserts a counter for every edge in the program, instead of using control flow information to prune the number of counters inserted.

This pass instruments the specified program with counters for function profiling, which counts the number of times each function is called.

The basic profiler that does nothing. It is the default profiler and thus terminates RSProfiler chains. It is useful for measuring framework overhead.

The second stage of the random-sampling instrumentation framework, duplicates all instructions in a function, ignoring the profiling code, then connects the two versions together at the entry and at backedges. At each connection point a choice is made as to whether to jump to the profiled code (take a sample) or execute the unprofiled code.

After this pass, it is highly recommended to runmem2reg and adce. instcombine, load-vn, gdce, and dse also are good to run afterwards.

Combine instructions to form fewer, simple instructions. This pass does not modify the CFG This pass is where algebraic simplification happens.

This pass combines things like:

%Y = add i32 %X, 1
%Z = add i32 %Y, 1

into:

%Z = add i32 %X, 2

This is a simple worklist driven algorithm.

This pass guarantees that the following canonicalizations are performed on the program:

• If a binary operator has a constant operand, it is moved to the right- hand side.
• Bitwise operators with constant operands are always grouped so that shifts are performed first, then ors, then ands, then xors.
• Compare instructions are converted from <, >, ≤, or ≥ to = or ≠ if possible.
• All cmp instructions on boolean values are replaced with logical operations.
• add X, X is represented as mul X, 2 ⇒ shl X, 1
• Multiplies with a constant power-of-two argument are transformed into shifts.
• … etc.

This pass loops over all of the functions in the input module, looking for a main function. If a main function is found, all other functions and all global variables with initializers are marked as internal.

This pass implements an extremely simple interprocedural constant propagation pass. It could certainly be improved in many different ways, like using a worklist. This pass makes arguments dead, but does not remove them. The existing dead argument elimination pass should be run after this to clean up the mess.

An interprocedural variant of Sparse Conditional Constant Propagation.

This pass transforms loops by placing phi nodes at the end of the loops for all values that are live across the loop boundary. For example, it turns the left into the right code:

for (...)                for (...)
  if (c)                   if (c)
    X1 = ...                 X1 = ...
  else                     else
    X2 = ...                 X2 = ...
  X3 = phi(X1, X2)         X3 = phi(X1, X2)
... = X3 + 4              X4 = phi(X3)
                          ... = X4 + 4

This is still valid LLVM; the extra phi nodes are purely redundant, and will be trivially eliminated by InstCombine. The major benefit of this transformation is that it makes many other loop optimizations, such as LoopUnswitching, simpler.

This pass performs loop invariant code motion, attempting to remove as much code from the body of a loop as possible. It does this by either hoisting code into the preheader block, or by sinking code to the exit blocks if it is safe. This pass also promotes must-aliased memory locations in the loop to live in registers, thus hoisting and sinking "invariant" loads and stores.

This pass uses alias analysis for two purposes:

• Moving loop invariant loads and calls out of loops. If we can determine that a load or call inside of a loop never aliases anything stored to, we can hoist it or sink it like any other instruction.
• Scalar Promotion of Memory - If there is a store instruction inside of the loop, we try to move the store to happen AFTER the loop instead of inside of the loop. This can only happen if a few conditions are true:
  • The pointer stored through is loop invariant.
  • There are no stores or loads in the loop which may alias the pointer. There are no calls in the loop which mod/ref the pointer.
  If these conditions are true, we can promote the loads and stores in the loop of the pointer to use a temporary alloca'd variable. We then use the mem2reg functionality to construct the appropriate SSA form for the variable.

A pass wrapper around the ExtractLoop() scalar transformation to extract each top-level loop into its own new function. If the loop is the only loop in a given function, it is not touched. This is a pass most useful for debugging via bugpoint.

Similar to Extract loops into new functions, this pass extracts one natural loop from the program into a function if it can. This is used by bugpoint.

This pass divides loop's iteration range by spliting loop such that each individual loop is executed efficiently.

This pass performs a strength reduction on array references inside loops that have as one or more of their components the loop induction variable. This is accomplished by creating a new value to hold the initial value of the array access for the first iteration, and then creating a new GEP instruction in the loop to increment the value by the appropriate amount.

A simple loop rotation transformation.

This pass implements a simple loop unroller. It works best when loops have been canonicalized by the -indvars pass, allowing it to determine the trip counts of loops easily.

This pass transforms loops that contain branches on loop-invariant conditions to have multiple loops. For example, it turns the left into the right code:

for (...)                  if (lic)
  A                          for (...)
  if (lic)                     A; B; C
    B                      else
  C                          for (...)
                               A; C

This can increase the size of the code exponentially (doubling it every time a loop is unswitched) so we only unswitch if the resultant code will be smaller than a threshold.

This pass expects LICM to be run before it to hoist invariant conditions out of the loop, to make the unswitching opportunity obvious.

This pass performs several transformations to transform natural loops into a simpler form, which makes subsequent analyses and transformations simpler and more effective.

Loop pre-header insertion guarantees that there is a single, non-critical entry edge from outside of the loop to the loop header. This simplifies a number of analyses and transformations, such as LICM.

Loop exit-block insertion guarantees that all exit blocks from the loop (blocks which are outside of the loop that have predecessors inside of the loop) only have predecessors from inside of the loop (and are thus dominated by the loop header). This simplifies transformations such as store-sinking that are built into LICM.

This pass also guarantees that loops will have exactly one backedge.

Note that the simplifycfg pass will clean up blocks which are split out but end up being unnecessary, so usage of this pass should not pessimize generated code.

This pass obviously modifies the CFG, but updates loop information and dominator information.

Lowers operations on vector datatypes into operations on more primitive vector datatypes, and finally to scalar operations.

Turn malloc and free instructions into @malloc and @free calls.

This is a target-dependent tranformation because it depends on the size of data types and alignment constraints.

This file implements lowering for the llvm.gc* intrinsics for targets that do not natively support them (which includes the C backend). Note that the code generated is not as efficient as it would be for targets that natively support the GC intrinsics, but it is useful for getting new targets up-and-running quickly.

This pass implements the code transformation described in this paper:

"Accurate Garbage Collection in an Uncooperative Environment" Fergus Henderson, ISMM, 2002

This transformation is designed for use by code generators which do not yet support stack unwinding. This pass supports two models of exception handling lowering, the 'cheap' support and the 'expensive' support.

'Cheap' exception handling support gives the program the ability to execute any program which does not "throw an exception", by turning 'invoke' instructions into calls and by turning 'unwind' instructions into calls to abort(). If the program does dynamically use the unwind instruction, the program will print a message then abort.

'Expensive' exception handling support gives the full exception handling support to the program at the cost of making the 'invoke' instruction really expensive. It basically inserts setjmp/longjmp calls to emulate the exception handling as necessary.

Because the 'expensive' support slows down programs a lot, and EH is only used for a subset of the programs, it must be specifically enabled by the -enable-correct-eh-support option.

Note that after this pass runs the CFG is not entirely accurate (exceptional control flow edges are not correct anymore) so only very simple things should be done after the lowerinvoke pass has run (like generation of native code). This should not be used as a general purpose "my LLVM-to-LLVM pass doesn't support the invoke instruction yet" lowering pass.

Lowers select instructions into conditional branches for targets that do not have conditional moves or that have not implemented the select instruction yet.

Note that this pass could be improved. In particular it turns every select instruction into a new conditional branch, even though some common cases have select instructions on the same predicate next to each other. It would be better to use the same branch for the whole group of selects.

Lowers setjmp and longjmp to use the LLVM invoke and unwind instructions as necessary.

Lowering of longjmp is fairly trivial. We replace the call with a call to the LLVM library function __llvm_sjljeh_throw_longjmp(). This unwinds the stack for us calling all of the destructors for objects allocated on the stack.

At a setjmp call, the basic block is split and the setjmp removed. The calls in a function that have a setjmp are converted to invoke where the except part checks to see if it's a longjmp exception and, if so, if it's handled in the function. If it is, then it gets the value returned by the longjmp and goes to where the basic block was split. invoke instructions are handled in a similar fashion with the original except block being executed if it isn't a longjmp except that is handled by that function.

Rewrites switch instructions with a sequence of branches, which allows targets to get away with not implementing the switch instruction until it is convenient.

This file promotes memory references to be register references. It promotes alloca instructions which only have loads and stores as uses. An alloca is transformed by using dominator frontiers to place phi nodes, then traversing the function in depth-first order to rewrite loads and stores as appropriate. This is just the standard SSA construction algorithm to construct "pruned" SSA form.

Ensure that functions have at most one ret instruction in them. Additionally, it keeps track of which node is the new exit node of the CFG.

Path-sensitive optimizer. In a branch where x == y, replace uses of x with y. Permits further optimization, such as the elimination of the unreachable call:

void test(int *p, int *q)
{
  if (p != q)
    return;

  if (*p != *q)
    foo(); // unreachable
}

This file implements a simple interprocedural pass which walks the call-graph, turning invoke instructions into call instructions if and only if the callee cannot throw an exception. It implements this as a bottom-up traversal of the call-graph.

Converts @malloc and @free calls to malloc and free instructions.

This pass reassociates commutative expressions in an order that is designed to promote better constant propagation, GCSE, LICM, PRE, etc.

For example: 4 + (x + 5) ⇒ x + (4 + 5)

In the implementation of this algorithm, constants are assigned rank = 0, function arguments are rank = 1, and other values are assigned ranks corresponding to the reverse post order traversal of current function (starting at 2), which effectively gives values in deep loops higher rank than values not in loops.

This file demotes all registers to memory references. It is intented to be the inverse of -mem2reg. By converting to load instructions, the only values live accross basic blocks are alloca instructions and load instructions before phi nodes. It is intended that this should make CFG hacking much easier. To make later hacking easier, the entry block is split into two, such that all introduced alloca instructions (and nothing else) are in the entry block.

The well-known scalar replacement of aggregates transformation. This transform breaks up alloca instructions of aggregate type (structure or array) into individual alloca instructions for each member if possible. Then, if possible, it transforms the individual alloca instructions into nice clean scalar SSA form.

This combines a simple scalar replacement of aggregates algorithm with the mem2reg algorithm because often interact, especially for C++ programs. As such, iterating between scalarrepl, then mem2reg until we run out of things to promote works well.

Sparse conditional constant propagation and merging, which can be summarized as:

1. Assumes values are constant unless proven otherwise
2. Assumes BasicBlocks are dead unless proven otherwise
3. Proves values to be constant, and replaces them with constants
4. Proves conditional branches to be unconditional

Note that this pass has a habit of making definitions be dead. It is a good idea to to run a DCE pass sometime after running this pass.

Applies a variety of small optimizations for calls to specific well-known function calls (e.g. runtime library functions). For example, a call exit(3) that occurs within the main() function can be transformed into simply return 3.

Performs dead code elimination and basic block merging. Specifically:

1. Removes basic blocks with no predecessors.
2. Merges a basic block into its predecessor if there is only one and the predecessor only has one successor.
3. Eliminates PHI nodes for basic blocks with a single predecessor.
4. Eliminates a basic block that only contains an unconditional branch.

Performs code stripping. This transformation can delete:

1. names for virtual registers
2. symbols for internal globals and functions
3. debug information

Note that this transformation makes code much less readable, so it should only be used in situations where the strip utility would be used, such as reducing code size or making it harder to reverse engineer code.

This file transforms calls of the current function (self recursion) followed by a return instruction with a branch to the entry of the function, creating a loop. This pass also implements the following extensions to the basic algorithm:

• Trivial instructions between the call and return do not prevent the transformation from taking place, though currently the analysis cannot support moving any really useful instructions (only dead ones).
• This pass transforms functions that are prevented from being tail recursive by an associative expression to use an accumulator variable, thus compiling the typical naive factorial or fib implementation into efficient code.
• TRE is performed if the function returns void, if the return returns the result returned by the call, or if the function returns a run-time constant on all exits from the function. It is possible, though unlikely, that the return returns something else (like constant 0), and can still be TRE'd. It can be TRE'd if all other return instructions in the function return the exact same value.
• If it can prove that callees do not access theier caller stack frame, they are marked as eligible for tail call elimination (by the code generator).

This pass performs a limited form of tail duplication, intended to simplify CFGs by removing some unconditional branches. This pass is necessary to straighten out loops created by the C front-end, but also is capable of making other code nicer. After this pass is run, the CFG simplify pass should be run to clean up the mess.

This section describes the LLVM Utility Passes.

Same as dead argument elimination, but deletes arguments to functions which are external. This is only for use by bugpoint.

This pass is used by bugpoint to extract all blocks from the module into their own functions.

Ensures that the module is in the form required by the Module Verifier pass.

Running the verifier runs this pass automatically, so there should be no need to use it directly.

Verifies an LLVM IR code. This is useful to run after an optimization which is undergoing testing. Note that llvm-as verifies its input before emitting bitcode, and also that malformed bitcode is likely to make LLVM crash. All language front-ends are therefore encouraged to verify their output before performing optimizing transformations.

• Both of a binary operator's parameters are of the same type.
• Verify that the indices of mem access instructions match other operands.
• Verify that arithmetic and other things are only performed on first-class types. Verify that shifts and logicals only happen on integrals f.e.
• All of the constants in a switch statement are of the correct type.
• The code is in valid SSA form.
• It should be illegal to put a label into any other type (like a structure) or to return one. [except constant arrays!]
• Only phi nodes can be self referential: %x = add int %x, %x is invalid.
• PHI nodes must have an entry for each predecessor, with no extras.
• PHI nodes must be the first thing in a basic block, all grouped together.
• PHI nodes must have at least one entry.
• All basic blocks should only end with terminator insts, not contain them.
• The entry node to a function must not have predecessors.
• All Instructions must be embedded into a basic block.
• Functions cannot take a void-typed parameter.
• Verify that a function's argument list agrees with its declared type.
• It is illegal to specify a name for a void value.
• It is illegal to have a internal global value with no initializer.
• It is illegal to have a ret instruction that returns a value that does not agree with the function return value type.
• Function call argument types match the function prototype.
• All other things that are tested by asserts spread about the code.

Note that this does not provide full security verification (like Java), but instead just tries to ensure that code is well-formed.

Displays the control flow graph using the GraphViz tool.

Displays the control flow graph using the GraphViz tool, but omitting function bodies.