This changes the default value used for mask policy from mask undisturbed to mask agnostic. In hardware, there may be a minor preference for ta/ma, but since this is only going to apply to instructions which don't use the mask policy bit, this is functionally mostly a nop. The main value is to make future changes to using MA when legal for masked instructions easier to review by reducing test churn.
The prior code was motivated by a desire to minimize state transitions between masked and unmasked code. This patch achieves the same effect using the demanded field logic (landed in afb45ff), and there are no regressions I spotted in the test diffs. (Given the size, I have only been able to skim.) I do want to call out that regressions are possible here; the demanded analysis only works on a block local scope right now, so e.g. a tight loop mixing masked and unmasked computation might see an extra vsetvli or two.
Differential Revision: https://reviews.llvm.org/D133803
RVV doesn't have immediate field for memory addressing. Currently
we build MachineInstructions in PEI to computing stack offset for
RVV load store instructions. These instructions were added too late to
can be optimized by CSE, LICM... passes.
This patch makes FrameIndex SDNodes can't be matched in RVV Load Store
instruction selection patterns. So that the FrameIndex SDNodes would be
selected as `ADDI GPR, targetframeindex`.
There are 2 advantages for such change:
1. Stack objects address computing can be optimized by machine function
passes.
2. Since the ADDI instruction's destination register can be used as a
temp register, we can save an emergency spill slot.
Differential Revision: https://reviews.llvm.org/D128187
GPR uses argument registers as the first group of registers to allocate.
This patch uses vector argument registers, v8 to v23, as the first group
to allocate.
Differential Revision: https://reviews.llvm.org/D111304
This patch adds support for lowering the saturating vector add/sub
intrinsics to RVV instructions, for both fixed-length and
scalable-vector forms alike.
Note that some of the DAG combines are still not triggering for the
scalable-vector tests. These require a bit more work in the DAGCombiner
itself.
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D106651
