Commit Graph

6 Commits

Author SHA1 Message Date
Nick Fitzgerald
1efdf10ca7 souper-harvest: ensure that select conditions are of type i1 2020-12-03 14:43:28 -08:00
Nick Fitzgerald
f7cf771ee6 souper-harvest: Do not generate assignments of constants
It turns out that Souper does not allow a constant to be assigned to a variable,
they may only be used as operands. The 2.0.0 version of the `souper-ir` crate
correctly reflects this. In the `cranelift_codegen::souper_harvest` module, we
need to modify our Souper IR harvester so that it delays converting `iconst` and
`bconst` into Souper IR until their values are used as operands. Finally, some
unit tests in the `peepmatic-souper` crate need some small updates as well.
2020-12-03 14:43:14 -08:00
Nick Fitzgerald
c87aaeeece cranelift_codegen::souper_harvest: Update TODOs to include more instructions 2020-09-14 16:27:47 -07:00
Nick Fitzgerald
b2acec1164 Harvest integer comparisons into Souper left-hand side candidates 2020-09-14 16:27:47 -07:00
Nick Fitzgerald
5a87171121 Do not use the matches! macro so we work with older rustc versions 2020-09-14 16:27:47 -07:00
Nick Fitzgerald
3a6dd832c0 Harvest left-hand side superoptimization candidates.
Given a clif function, harvest all its integer subexpressions, so that they can
be fed into [Souper](https://github.com/google/souper) as candidates for
superoptimization. For some of these candidates, Souper will successfully
synthesize a right-hand side that is equivalent but has lower cost than the
left-hand side. Then, we can combine these left- and right-hand sides into a
complete optimization, and add it to our peephole passes.

To harvest the expression that produced a given value `x`, we do a post-order
traversal of the dataflow graph starting from `x`. As we do this traversal, we
maintain a map from clif values to their translated Souper values. We stop
traversing when we reach anything that can't be translated into Souper IR: a
memory load, a float-to-int conversion, a block parameter, etc. For values
produced by these instructions, we create a Souper `var`, which is an input
variable to the optimization. For instructions that have a direct mapping into
Souper IR, we get the Souper version of each of its operands and then create the
Souper version of the instruction itself. It should now be clear why we do a
post-order traversal: we need an instruction's translated operands in order to
translate the instruction itself. Once this instruction is translated, we update
the clif-to-souper map with this new translation so that any other instruction
that uses this result as an operand has access to the translated value. When the
traversal is complete we return the translation of `x` as the root of left-hand
side candidate.
2020-09-14 16:27:47 -07:00