This commit slightly improves VariableManager's API and, most
importantly, undef-initializes all TCG variables in order to avoid
creation of complex PHIs.
In large binaries PHI nodes show up. As a consequence, calls to `newpc`
are no longer the first instruction.
This commit uses the `getFirstNonPHI` method to fix this issue.
This commit drops the KeyTraits in favor of a std::any-like solution.
Basically, we type erase any key the user wants to employ, just exposing
a virtual version of the destructor, a comparison operator and a clone
primitive.
Before this commit, the execution logic of RecursiveCoroutine used an
underlying std::stack allocated on the heap to hold all the
coroutine_handles. It also manually managed passing return values from
callees to callers.
This commit drops this unnecessary auxiliary stack.
When a RecursiveCoroutine co_awaits another one, the handle of the
awaiter is injected into the awaitee, so that when the awaitee is done
it can directly execute the remaining part of the awaiter as a
continuation.
RemoveExceptionalCalls is a simple pass whose goal is to drop all the
calls to functions marked as `Exceptional` and replace them with an
`UnrechableInst`.
This is mainly useful in the decompilation pipeline.
This commit takes out of EnforceABI the part taking care of creating
wrappers for calls to helpers and promoting CSV to local variables.
This decoupling, enables to run -promote-csvs multiple times, for
instance after inlining.
FunctionTags goal is to solve the long-standing problem of identifying
what type of function are we dealing with. Is it a lifted function? An
helper?
Now we have a sane way to determine this using Metadata and a proper
API.
This commit further reduces the time spent in AVI by considering all the
function calls as indirect. In fact, we currently don't handle indirect
jumps whose target is affected by computation happening before a
function call.
This commit greatly improves the performance by ensuring that, when
computing the set of nodes we want to consider for AVI, we do not
traverse the dispatcher.
Doing so, means including *a lot* of irrelevant nodes and wasting a lot
of computation, since the CFG usually is not influenced by stuff
happening before an indirect jump.
In at least a situation the speedup is in the order of 20x, however this
depends on the size of the binary, since traversing the dispatcher means
including all the binary in the computations (as opposed to just the set
of blocks involved in the dataflow to compute a certain expression).
Alessandro Di Federico