legalization time. Since at legalization time there is no mapping from
SDNode back to the corresponding LLVM instruction and the return
SDNode is target specific, this requires a target hook to check for
eligibility. Only x86 and ARM support this form of sibcall optimization
right now.
rdar://8707777
llvm-svn: 120501
in favor of the widespread llvm style. Capitalize variables and add
newlines for visual parsing. Rename variables for readability.
And other cleanup.
llvm-svn: 120490
t_addrmode_s4, but with a different scaling factor.
* Encode the Thumb1 load and store instructions. This involved a bit of
refactoring (hi, Chris! :-). Some of the patterns became dead afterwards and
were removed.
llvm-svn: 120482
Thumb2 encoding to share code with the ARM encoding, which gets use fixup support for free.
It also allows us to fold away at least one codegen-only pattern.
llvm-svn: 120481
1. if the underlying pointer passed in can be resolved
to any argument or alloca, then we don't need to scan.
Previously we would only avoid the scan if the alloca
or byval was actually considered dead.
2. The dead store processing code is itself completely
dead and didn't handle volatile stores right anyway,
so delete it. This allows simplifying the interface
to RemoveAccessedObjects.
llvm-svn: 120467
made sense to me. We now have a set of dead stack objects, and
they become live when loaded. Fix a theoretical problem where
we'd pass in the wrong pointer to the alias query.
llvm-svn: 120465
If the call might read all the allocas, stop scanning early.
Convert a vector to smallvector, shrink SmallPtrSet to 16 instead
of 64 to avoid crazy linear scans.
llvm-svn: 120463
- Use a DenseSet instead of a FoldingSet to cache
canonicalized nodes. This reduces the overhead
of double-hashing.
- Use reference counts in ImutAVLTree to much
more aggressively recover tree nodes that are
no longer usable. We can generate many
transient nodes while using add() and remove()
on ImmutableSet/ImmutableMaps to generate a final
set/map.
For the clang static analyzer (the main client
of these data structures), this results in
a slight speedup (0.5%) when analyzing sqlite3,
but much more importantly results in a 30-60%
reduction in peak memory usage when the analyzer
is analyzing a given function in a file. On
average that's about a ** 44% reduction ** in the
memory footprint of the static analyzer.
llvm-svn: 120459
