The following briefly describes the tree optimization passes that are run after gimplification and what source files they are located in.
This pass is an extremely simple sweep across the gimple code in which
we identify obviously dead code and remove it. Here we do things like
simplify if
statements with constant conditions, remove
exception handling constructs surrounding code that obviously cannot
throw, remove lexical bindings that contain no variables, and other
assorted simplistic cleanups. The idea is to get rid of the obvious
stuff quickly rather than wait until later when it's more work to get
rid of it. This pass is located in tree-cfg.c and described by
pass_remove_useless_stmts
.
If mudflap (see -fmudflap -fmudflapth -fmudflapir (Using the GNU Compiler Collection (GCC))) is
enabled, we generate code to register some variable declarations with
the mudflap runtime. Specifically, the runtime tracks the lifetimes of
those variable declarations that have their addresses taken, or whose
bounds are unknown at compile time (extern
). This pass generates
new exception handling constructs (try
/finally
), and so
must run before those are lowered. In addition, the pass enqueues
declarations of static variables whose lifetimes extend to the entire
program. The pass is located in tree-mudflap.c and is described
by pass_mudflap_1
.
If OpenMP generation (-fopenmp) is enabled, this pass lowers OpenMP constructs into GIMPLE.
Lowering of OpenMP constructs involves creating replacement
expressions for local variables that have been mapped using data
sharing clauses, exposing the control flow of most synchronization
directives and adding region markers to facilitate the creation of the
control flow graph. The pass is located in omp-low.c and is
described by pass_lower_omp
.
If OpenMP generation (-fopenmp) is enabled, this pass expands
parallel regions into their own functions to be invoked by the thread
library. The pass is located in omp-low.c and is described by
pass_expand_omp
.
This pass flattens if
statements (COND_EXPR
)
and moves lexical bindings (BIND_EXPR
) out of line. After
this pass, all if
statements will have exactly two goto
statements in its then
and else
arms. Lexical binding
information for each statement will be found in TREE_BLOCK
rather
than being inferred from its position under a BIND_EXPR
. This
pass is found in gimple-low.c and is described by
pass_lower_cf
.
This pass decomposes high-level exception handling constructs
(TRY_FINALLY_EXPR
and TRY_CATCH_EXPR
) into a form
that explicitly represents the control flow involved. After this
pass, lookup_stmt_eh_region
will return a non-negative
number for any statement that may have EH control flow semantics;
examine tree_can_throw_internal
or tree_can_throw_external
for exact semantics. Exact control flow may be extracted from
foreach_reachable_handler
. The EH region nesting tree is defined
in except.h and built in except.c. The lowering pass
itself is in tree-eh.c and is described by pass_lower_eh
.
This pass decomposes a function into basic blocks and creates all of
the edges that connect them. It is located in tree-cfg.c and
is described by pass_build_cfg
.
This pass walks the entire function and collects an array of all
variables referenced in the function, referenced_vars
. The
index at which a variable is found in the array is used as a UID
for the variable within this function. This data is needed by the
SSA rewriting routines. The pass is located in tree-dfa.c
and is described by pass_referenced_vars
.
This pass rewrites the function such that it is in SSA form. After
this pass, all is_gimple_reg
variables will be referenced by
SSA_NAME
, and all occurrences of other variables will be
annotated with VDEFS
and VUSES
; PHI nodes will have
been inserted as necessary for each basic block. This pass is
located in tree-ssa.c and is described by pass_build_ssa
.
This pass scans the function for uses of SSA_NAME
s that
are fed by default definition. For non-parameter variables, such
uses are uninitialized. The pass is run twice, before and after
optimization. In the first pass we only warn for uses that are
positively uninitialized; in the second pass we warn for uses that
are possibly uninitialized. The pass is located in tree-ssa.c
and is defined by pass_early_warn_uninitialized
and
pass_late_warn_uninitialized
.
This pass scans the function for statements without side effects whose
result is unused. It does not do memory life analysis, so any value
that is stored in memory is considered used. The pass is run multiple
times throughout the optimization process. It is located in
tree-ssa-dce.c and is described by pass_dce
.
This pass performs trivial dominator-based copy and constant propagation,
expression simplification, and jump threading. It is run multiple times
throughout the optimization process. It it located in tree-ssa-dom.c
and is described by pass_dominator
.
This pass attempts to remove redundant computation by substituting
variables that are used once into the expression that uses them and
seeing if the result can be simplified. It is located in
tree-ssa-forwprop.c and is described by pass_forwprop
.
This pass attempts to change the name of compiler temporaries involved in
copy operations such that SSA->normal can coalesce the copy away. When compiler
temporaries are copies of user variables, it also renames the compiler
temporary to the user variable resulting in better use of user symbols. It is
located in tree-ssa-copyrename.c and is described by
pass_copyrename
.
This pass recognizes forms of PHI inputs that can be represented as
conditional expressions and rewrites them into straight line code.
It is located in tree-ssa-phiopt.c and is described by
pass_phiopt
.
This pass performs a flow sensitive SSA-based points-to analysis.
The resulting may-alias, must-alias, and escape analysis information
is used to promote variables from in-memory addressable objects to
non-aliased variables that can be renamed into SSA form. We also
update the VDEF
/VUSE
memory tags for non-renameable
aggregates so that we get fewer false kills. The pass is located
in tree-ssa-alias.c and is described by pass_may_alias
.
Interprocedural points-to information is located in
tree-ssa-structalias.c and described by pass_ipa_pta
.
This pass rewrites the function in order to collect runtime block
and value profiling data. Such data may be fed back into the compiler
on a subsequent run so as to allow optimization based on expected
execution frequencies. The pass is located in predict.c and
is described by pass_profile
.
This pass rewrites complex arithmetic operations into their component
scalar arithmetic operations. The pass is located in tree-complex.c
and is described by pass_lower_complex
.
This pass rewrites suitable non-aliased local aggregate variables into
a set of scalar variables. The resulting scalar variables are
rewritten into SSA form, which allows subsequent optimization passes
to do a significantly better job with them. The pass is located in
tree-sra.c and is described by pass_sra
.
This pass eliminates stores to memory that are subsequently overwritten
by another store, without any intervening loads. The pass is located
in tree-ssa-dse.c and is described by pass_dse
.
This pass transforms tail recursion into a loop. It is located in
tree-tailcall.c and is described by pass_tail_recursion
.
This pass sinks stores and assignments down the flowgraph closer to their
use point. The pass is located in tree-ssa-sink.c and is
described by pass_sink_code
.
This pass eliminates partially redundant computations, as well as
performing load motion. The pass is located in tree-ssa-pre.c
and is described by pass_pre
.
Just before partial redundancy elimination, if
-funsafe-math-optimizations is on, GCC tries to convert
divisions to multiplications by the reciprocal. The pass is located
in tree-ssa-math-opts.c and is described by
pass_cse_reciprocal
.
This is a simpler form of PRE that only eliminates redundancies that
occur an all paths. It is located in tree-ssa-pre.c and
described by pass_fre
.
The main driver of the pass is placed in tree-ssa-loop.c
and described by pass_loop
.
The optimizations performed by this pass are:
Loop invariant motion. This pass moves only invariants that would be hard to handle on rtl level (function calls, operations that expand to nontrivial sequences of insns). With -funswitch-loops it also moves operands of conditions that are invariant out of the loop, so that we can use just trivial invariantness analysis in loop unswitching. The pass also includes store motion. The pass is implemented in tree-ssa-loop-im.c.
Canonical induction variable creation. This pass creates a simple counter for number of iterations of the loop and replaces the exit condition of the loop using it, in case when a complicated analysis is necessary to determine the number of iterations. Later optimizations then may determine the number easily. The pass is implemented in tree-ssa-loop-ivcanon.c.
Induction variable optimizations. This pass performs standard induction variable optimizations, including strength reduction, induction variable merging and induction variable elimination. The pass is implemented in tree-ssa-loop-ivopts.c.
Loop unswitching. This pass moves the conditional jumps that are invariant out of the loops. To achieve this, a duplicate of the loop is created for each possible outcome of conditional jump(s). The pass is implemented in tree-ssa-loop-unswitch.c. This pass should eventually replace the rtl-level loop unswitching in loop-unswitch.c, but currently the rtl-level pass is not completely redundant yet due to deficiencies in tree level alias analysis.
The optimizations also use various utility functions contained in tree-ssa-loop-manip.c, cfgloop.c, cfgloopanal.c and cfgloopmanip.c.
Vectorization. This pass transforms loops to operate on vector types
instead of scalar types. Data parallelism across loop iterations is exploited
to group data elements from consecutive iterations into a vector and operate
on them in parallel. Depending on available target support the loop is
conceptually unrolled by a factor VF
(vectorization factor), which is
the number of elements operated upon in parallel in each iteration, and the
VF
copies of each scalar operation are fused to form a vector operation.
Additional loop transformations such as peeling and versioning may take place
to align the number of iterations, and to align the memory accesses in the loop.
The pass is implemented in tree-vectorizer.c (the main driver and general
utilities), tree-vect-analyze.c and tree-vect-transform.c.
Analysis of data references is in tree-data-ref.c.
Autoparallelization. This pass splits the loop iteration space to run into several threads. The pass is implemented in tree-parloops.c.
This pass applies if-conversion to simple loops to help vectorizer.
We identify if convertible loops, if-convert statements and merge
basic blocks in one big block. The idea is to present loop in such
form so that vectorizer can have one to one mapping between statements
and available vector operations. This patch re-introduces COND_EXPR
at GIMPLE level. This pass is located in tree-if-conv.c and is
described by pass_if_conversion
.
This pass relaxes a lattice of values in order to identify those
that must be constant even in the presence of conditional branches.
The pass is located in tree-ssa-ccp.c and is described
by pass_ccp
.
A related pass that works on memory loads and stores, and not just
register values, is located in tree-ssa-ccp.c and described by
pass_store_ccp
.
This is similar to constant propagation but the lattice of values is
the “copy-of” relation. It eliminates redundant copies from the
code. The pass is located in tree-ssa-copy.c and described by
pass_copy_prop
.
A related pass that works on memory copies, and not just register
copies, is located in tree-ssa-copy.c and described by
pass_store_copy_prop
.
This transformation is similar to constant propagation but
instead of propagating single constant values, it propagates
known value ranges. The implementation is based on Patterson's
range propagation algorithm (Accurate Static Branch Prediction by
Value Range Propagation, J. R. C. Patterson, PLDI '95). In
contrast to Patterson's algorithm, this implementation does not
propagate branch probabilities nor it uses more than a single
range per SSA name. This means that the current implementation
cannot be used for branch prediction (though adapting it would
not be difficult). The pass is located in tree-vrp.c and is
described by pass_vrp
.
This pass simplifies built-in functions, as applicable, with constant
arguments or with inferable string lengths. It is located in
tree-ssa-ccp.c and is described by pass_fold_builtins
.
This pass identifies critical edges and inserts empty basic blocks
such that the edge is no longer critical. The pass is located in
tree-cfg.c and is described by pass_split_crit_edges
.
This pass is a stronger form of dead code elimination that can
eliminate unnecessary control flow statements. It is located
in tree-ssa-dce.c and is described by pass_cd_dce
.
This pass identifies function calls that may be rewritten into
jumps. No code transformation is actually applied here, but the
data and control flow problem is solved. The code transformation
requires target support, and so is delayed until RTL. In the
meantime CALL_EXPR_TAILCALL
is set indicating the possibility.
The pass is located in tree-tailcall.c and is described by
pass_tail_calls
. The RTL transformation is handled by
fixup_tail_calls
in calls.c.
For non-void functions, this pass locates return statements that do
not specify a value and issues a warning. Such a statement may have
been injected by falling off the end of the function. This pass is
run last so that we have as much time as possible to prove that the
statement is not reachable. It is located in tree-cfg.c and
is described by pass_warn_function_return
.
If mudflap is enabled, we rewrite some memory accesses with code to
validate that the memory access is correct. In particular, expressions
involving pointer dereferences (INDIRECT_REF
, ARRAY_REF
,
etc.) are replaced by code that checks the selected address range
against the mudflap runtime's database of valid regions. This check
includes an inline lookup into a direct-mapped cache, based on
shift/mask operations of the pointer value, with a fallback function
call into the runtime. The pass is located in tree-mudflap.c and
is described by pass_mudflap_2
.
This pass rewrites the function such that it is in normal form. At
the same time, we eliminate as many single-use temporaries as possible,
so the intermediate language is no longer GIMPLE, but GENERIC. The
pass is located in tree-outof-ssa.c and is described by
pass_del_ssa
.
This is part of the CFG cleanup passes. It attempts to join PHI nodes
from a forwarder CFG block into another block with PHI nodes. The
pass is located in tree-cfgcleanup.c and is described by
pass_merge_phi
.
If a function always returns the same local variable, and that local
variable is an aggregate type, then the variable is replaced with the
return value for the function (i.e., the function's DECL_RESULT). This
is equivalent to the C++ named return value optimization applied to
GIMPLE. The pass is located in tree-nrv.c and is described by
pass_nrv
.
If a function returns a memory object and is called as var =
foo()
, this pass tries to change the call so that the address of
var
is sent to the caller to avoid an extra memory copy. This
pass is located in tree-nrv.c
and is described by
pass_return_slot
.
__builtin_object_size
This is a propagation pass similar to CCP that tries to remove calls
to __builtin_object_size
when the size of the object can be
computed at compile-time. This pass is located in
tree-object-size.c and is described by
pass_object_sizes
.
This pass removes expensive loop-invariant computations out of loops.
The pass is located in tree-ssa-loop.c and described by
pass_lim
.
This is a family of loop transformations that works on loop nests. It
includes loop interchange, scaling, skewing and reversal and they are
all geared to the optimization of data locality in array traversals
and the removal of dependencies that hamper optimizations such as loop
parallelization and vectorization. The pass is located in
tree-loop-linear.c and described by
pass_linear_transform
.
This pass removes loops with no code in them. The pass is located in
tree-ssa-loop-ivcanon.c and described by
pass_empty_loop
.
This pass completely unrolls loops with few iterations. The pass
is located in tree-ssa-loop-ivcanon.c and described by
pass_complete_unroll
.
This pass makes the code reuse the computations from the previous
iterations of the loops, especially loads and stores to memory.
It does so by storing the values of these computations to a bank
of temporary variables that are rotated at the end of loop. To avoid
the need for this rotation, the loop is then unrolled and the copies
of the loop body are rewritten to use the appropriate version of
the temporary variable. This pass is located in tree-predcom.c
and described by pass_predcom
.
This pass issues prefetch instructions for array references inside
loops. The pass is located in tree-ssa-loop-prefetch.c and
described by pass_loop_prefetch
.
This pass rewrites arithmetic expressions to enable optimizations that
operate on them, like redundancy elimination and vectorization. The
pass is located in tree-ssa-reassoc.c and described by
pass_reassoc
.
stdarg
functions
This pass tries to avoid the saving of register arguments into the
stack on entry to stdarg
functions. If the function doesn't
use any va_start
macros, no registers need to be saved. If
va_start
macros are used, the va_list
variables don't
escape the function, it is only necessary to save registers that will
be used in va_arg
macros. For instance, if va_arg
is
only used with integral types in the function, floating point
registers don't need to be saved. This pass is located in
tree-stdarg.c
and described by pass_stdarg
.