Currently, when VPSlotTracker is initialized with a VPlan, its
assignName method calls printAsOperand on each underlying instruction.
Each such call recomputes slot numbers for the entire function, leading
to O(N × M) complexity, where M is the number of instructions in the
loop and N is the number of instructions in the function.
This results in slow debug output for large loops. For example, printing
costs of all instructions becomes O(M² × N), which is especially painful
when enabling verbose dumps.
This patch improves debugging performance by caching slot numbers using
ModuleSlotTracker. It avoids redundant recomputation and makes debug
output significantly faster.
Check if a VPlan transform converted recipes to single-scalar
VPReplicateRecipes (after 07c085af3efcd67503232f99a1652efc6e54c1a9). If
that's the case, the legacy cost model incorrectly overestimates the cost.
Fixes https://github.com/llvm/llvm-project/issues/141237.
Add a new helper to manage IR metadata that can be progated to generated
instructions for recipes.
This helps to remove a number of remaining uses of getUnderlyingInstr
during VPlan execution.
PR: https://github.com/llvm/llvm-project/pull/135272
Instead of executing the whole entry VPIRBB twice, first only execute
the VPExpandSCEVRecipes and replace their uses with the expanded
VPValue, which will be a live-in. This allows removing special logic in
VPExpandSCEVRecipe to support executing twice and allows moving the
ExpandedSCEVs map out of VPTransformState.
It will also allow adding other recipes to the entry VPBB in the future.
This patch restricts broadcast operations from being hoisted to the vector
preheader unless the basic block that defines the broadcasted value properly
dominates the vector preheader.
This prevents potential use-before-definition issues when the broadcasted
value is defined within the plan. VPDominatorTree is used to confirm this
restriction while still allowing safe hoisting for broadcasted values defined
outside the plan.
Issue https://github.com/llvm/llvm-project/issues/117139
Functions marked with minsize should aim for minimum code size, so the
vectorizer should use CodeSize for the cost kind and also the cost we
compare should be the cost for the entire loop: it shouldn't be divided
by the number of vector elements and block costs shouldn't be divided by
the block probability.
Possibly we should also be doing this for optsize as well, but there are
a lot of tests that assume the current behaviour and the definition of
optsize is less clear than minsize (for minsize the goal is to "keep the
code size of this function as small as possible" whereas for optsize
it's "keep the code size of this function low").
This patch adds initial support for vectorizing literal struct return
values. Currently, this is limited to the case where the struct is
homogeneous (all elements have the same type) and not packed. The users
of the call also must all be `extractvalue` instructions.
The intended use case for this is vectorizing intrinsics such as:
```
declare { float, float } @llvm.sincos.f32(float %x)
```
Mapping them to structure-returning library calls such as:
```
declare { <4 x float>, <4 x float> } @Sleef_sincosf4_u10advsimd(<4 x float>)
```
Or their widened form (such as `@llvm.sincos.v4f32` in this case).
Implementing this required two main changes:
1. Supporting widening `extractvalue`
2. Adding support for vectorized struct types in LV
* This is mostly limited to parts of the cost model and scalarization
Since the supported use case is narrow, the required changes are
relatively small.
Nothing in VPlan.h directly depends on VPTransformState, VPCostContext,
VPFRange, VPlanPrinter or VPSlotTracker. Move them out to a separate
header to reduce the size of widely used VPlan.h.
This is a first step towards more cleanly separating declarations in
VPlan.
Besides reducing VPlan.h's size, this also allows including additional
VPlan-related headers in VPlanHelpers.h for use there. An example is
using VPDominatorTree in VPTransformState
(https://github.com/llvm/llvm-project/pull/117138).
PR: https://github.com/llvm/llvm-project/pull/124104
