Commit Graph

21 Commits

Author SHA1 Message Date
Matt Arsenault 8c4a35237a AMDGPU: Add pass to lower kernel arguments to loads
This replaces most argument uses with loads, but for
now not all.

The code in SelectionDAG for calling convention lowering
is actively harmful for amdgpu_kernel. It attempts to
split the argument types into register legal types, which
results in low quality code for arbitary types. Since
all kernel arguments are passed in memory, we just want the
raw types.

I've tried a couple of methods of mitigating this in SelectionDAG,
but it's easier to just bypass this problem alltogether. It's
possible to hack around the problem in the initial lowering,
but the real problem is the DAG then expects to be able to use
CopyToReg/CopyFromReg for uses of the arguments outside the block.

Exposing the argument loads in the IR also has the advantage
that the LoadStoreVectorizer can merge them.

I'm not sure the best approach to dealing with the IR
argument list is. The patch as-is just leaves the IR arguments
in place, so all the existing code will still compute the same
kernarg size and pointlessly lowers the arguments.

Arguably the frontend should emit kernels with an empty argument
list in the first place. Alternatively a dummy array could be
inserted as a single argument just to reserve space.

This does have some disadvantages. Local pointer kernel arguments can
no longer have AssertZext placed  on them as the equivalent !range
metadata is not valid on pointer  typed loads. This is mostly bad
for SI which needs to know about the known bits in order to use the
DS instruction offset, so in this case this is not done.

More importantly, this skips noalias arguments since this pass
does not yet convert this to the equivalent !alias.scope and !noalias
metadata. Producing this metadata correctly seems to be tricky,
although this logically is the same as inlining into a function which
doesn't exist. Additionally, exposing these loads to the vectorizer
may result in degraded aliasing information if a pointer load is
merged with another argument load.

I'm also not entirely sure this is preserving the current clover
ABI, although I would greatly prefer if it would stop widening
arguments and match the HSA ABI. As-is I think it is extending
< 4-byte arguments to 4-bytes but doesn't align them to 4-bytes.

llvm-svn: 335650
2018-06-26 19:10:00 +00:00
Matt Arsenault 697300bd4f AMDGPU: Use scalar operations for f16 fabs/fneg patterns
Fixes unnecessary differences between subtargets.

llvm-svn: 334184
2018-06-07 10:15:20 +00:00
Matt Arsenault 90083d3088 AMDGPU: Try a lot harder to emit scalar loads
This has two main components. First, widen
widen short constant loads in DAG when they have
the correct alignment. This is already done a bit in
AMDGPUCodeGenPrepare, since that has access to
DivergenceAnalysis. This can't help kernarg loads
created in the DAG. Start to use DAG divergence analysis
to help this case.

The second part is to avoid kernel argument lowering
breaking the alignment of short vector elements because
calling convention lowering wants to split everything
into legal register types.

When loading a split type, load the nearest 4-byte aligned
segment and shift to get the desired bits. This extra
load of the earlier argument piece ends up merging,
and the bit extract hopefully folds out.

There are a number of improvements and regressions with
this, but I think as-is this is a better compromise between
several of the worst parts of SelectionDAG.

Particularly when i16 is legal, this produces worse code
for i8 and i16 element vector kernel arguments. This is
partially due to the very weak load merging the DAG does.
It only looks for fairly specific combines between pairs
of loads which no longer appear. In particular this
causes v4i16 loads to be split into 2 components when
previously the two halves were merged.

Worse, because of the newly introduced shifts, there
is a lot more unnecessary vector packing and unpacking code
emitted. At least some of this is due to reporting
false for isTypeDesirableForOp for i16 as a workaround for
the lack of divergence information in the DAG. The cases
where this happens it doesn't actually matter, but the
relevant code in SimplifyDemandedBits doens't have the context
to know to ignore this.

The use of the  scalar cache is probably more important
than the mess of mostly scalar instructions doing this packing
and unpacking. Future work can fix this, possibly by making better
use of the new DAG divergence information for controlling promotion
decisions, or adding another version of shift + trunc + shift
combines that doesn't only know about the used types.

llvm-svn: 334180
2018-06-07 09:54:49 +00:00
Matt Arsenault e9524f1fb3 AMDGPU: Custom lower v2f16 fneg/fabs with illegal f16
Fixes terrible code on targets without f16 support. The
legalization creates a mess that is difficult to recover
from. Also should avoid randomly breaking these tests
multiple times in sequence in future commits.

Some regressions in cases where it happens to be better
to pull the source modifier after the conversion.

llvm-svn: 334132
2018-06-06 21:28:11 +00:00
Matt Arsenault 7b4826e6ce AMDGPU: Use better alignment for kernarg lowering
This was just emitting loads with the ABI alignment
for the raw type. The true alignment is often better,
especially when an illegal vector type was scalarized.
The better alignment allows using a scalar load
more often.

llvm-svn: 333558
2018-05-30 16:17:51 +00:00
Matt Arsenault 606bc315d6 AMDGPU: Fix v2f16 fneg/fabs pattern
The integer operation convertion for some reason only happens
if the source is a bitcast from an integer, which happens to
always be the situation when the result is loaded. Add
an additional pattern for when the source operation is really
an FP operation.

llvm-svn: 333019
2018-05-22 20:13:34 +00:00
Matt Arsenault 1349a04ef5 AMDGPU: Make v2i16/v2f16 legal on VI
This usually results in better code. Fixes using
inline asm with short2, and also fixes having a different
ABI for function parameters between VI and gfx9.

Partially cleans up the mess used for lowering of the d16
operations. Making v4f16 legal will help clean this up more,
but this requires additional work.

llvm-svn: 332953
2018-05-22 06:32:10 +00:00
Stanislav Mekhanoshin 8b20b7dc2b [AMDGPU] Enabled v2.16 literals for VOP3P
Literal encoding needs op_sel_hi to select low 16 bit in this case.

Differential Revision: https://reviews.llvm.org/D45745

llvm-svn: 330230
2018-04-17 23:09:05 +00:00
Konstantin Zhuravlyov c40d9f2e5d AMDGPU/GCN: Bring processors in sync with AMDGPUUsage
- Add gfx704
    - Change bonaire to gfx704
  - Remove gfx804
  - Remove gfx901
  - Remove gfx903

Differential Revision: https://reviews.llvm.org/D40046

llvm-svn: 320194
2017-12-08 20:52:28 +00:00
Simon Pilgrim 8bd2d8780a [DAGCombine] (shl (or x, c1), c2) -> (or (shl x, c2), c1 << c2)
We already have a combine for this pattern when the input to shl is add, so we just need to enable the transformation when the input is or.

Original patch by @tstellar

Differential Revision: https://reviews.llvm.org/D19325

llvm-svn: 313251
2017-09-14 10:38:30 +00:00
Simon Pilgrim ab48e5e244 [AMDGPU] Added extra test checks to make D19325 diff clearer
llvm-svn: 312537
2017-09-05 14:32:06 +00:00
Matt Arsenault 4e309b0861 AMDGPU: Start selecting global instructions
llvm-svn: 309470
2017-07-29 01:03:53 +00:00
Matt Arsenault 6c29c5acfe AMDGPU: Allow SIShrinkInstructions to work in non-SSA
Immediates can be folded as long as the immediate is a vreg.

Also undo commuting instructions if it didn't fold an immediate.

llvm-svn: 307575
2017-07-10 19:53:57 +00:00
Stanislav Mekhanoshin 0330660403 [AMDGPU] Untangle SDWA pass from SIShrinkInstructions
Remove dependency of SDWA pass on SIShrinkInstructions.
The goal is to move SDWA even higher in the stack to avoid second run
of MachineLICM, MachineCSE and SIFoldOperands.

Also added handling to preserve original src modifiers.

Differential Revision: https://reviews.llvm.org/D33860

llvm-svn: 304665
2017-06-03 17:39:47 +00:00
Stanislav Mekhanoshin 56ea488d8b [AMDGPU] Allow SDWA in instructions with immediates and SGPRs
An encoding does not allow to use SDWA in an instruction with
scalar operands, either literals or SGPRs. That is however possible
to copy these operands into a VGPR first.

Several copies of the value are produced if multiple SDWA conversions
were done. To cleanup MachineLICM (to hoist copies out of loops),
MachineCSE (to remove duplicate copies) and SIFoldOperands (to replace
SGPR to VGPR copy with immediate copy right to the VGPR) runs are added
after the SDWA pass.

Differential Revision: https://reviews.llvm.org/D33583

llvm-svn: 304219
2017-05-30 16:49:24 +00:00
Konstantin Zhuravlyov 3d1cc88c68 AMDGPU: Temporarily disable packed inlinable literals (v2f16, v2i16)
Differential Revision: https://reviews.llvm.org/D32361

llvm-svn: 301028
2017-04-21 19:45:22 +00:00
Matt Arsenault 3dbeefa978 AMDGPU: Mark all unspecified CC functions in tests as amdgpu_kernel
Currently the default C calling convention functions are treated
the same as compute kernels. Make this explicit so the default
calling convention can be changed to a non-kernel.

Converted with perl -pi -e 's/define void/define amdgpu_kernel void/'
on the relevant test directories (and undoing in one place that actually
wanted a non-kernel).

llvm-svn: 298444
2017-03-21 21:39:51 +00:00
Matt Arsenault eb522e68bc AMDGPU: Support v2i16/v2f16 packed operations
llvm-svn: 296396
2017-02-27 22:15:25 +00:00
Wei Ding 205bfdb3e9 AMDGPU : Add trap handler support.
Differential Revision: http://reviews.llvm.org/D26010

llvm-svn: 294692
2017-02-10 02:15:29 +00:00
Matt Arsenault 9dba9bd4cf AMDGPU: Use source modifiers with f16->f32 conversions
The operand types were defined to fit the fp16_to_fp node, which
has the half as an integer type. v_cvt_f32_f16 does support
source modifiers, so change this to have an FP type and modifiers.

For targets without legal f16, this requires recognizing the
bit operations and trying to produce them.

llvm-svn: 293857
2017-02-02 02:27:04 +00:00
Matt Arsenault c79dc70d50 AMDGPU: Fix f16 fabs/fneg
llvm-svn: 286931
2016-11-15 02:25:28 +00:00