This PR starts the effort to upstream AMD's internal implementation of
`do concurrent` to OpenMP mapping. This replaces #77285 since we
extended this WIP quite a bit on our fork over the past year.
An important part of this PR is a document that describes the current
status downstream, the upstreaming status, and next steps to make this
pass much more useful.
In addition to this document, this PR also contains the skeleton of the
pass (no useful transformations are done yet) and some testing for the
added command line options.
This looks like a huge PR but a lot of the added stuff is documentation.
It is also worth noting that the downstream pass has been validated on
https://github.com/BerkeleyLab/fiats. For the CPU mapping, this achived
performance speed-ups that match pure OpenMP, for GPU mapping we are
still working on extending our support for implicit memory mapping and
locality specifiers.
PR stack:
- https://github.com/llvm/llvm-project/pull/126026 (this PR)
- https://github.com/llvm/llvm-project/pull/127595
- https://github.com/llvm/llvm-project/pull/127633
- https://github.com/llvm/llvm-project/pull/127634
- https://github.com/llvm/llvm-project/pull/127635
The code generation relies on `ShallowCopyDirect` runtime
to copy data between the original and the temporary arrays
(both directions). The allocations are done by the compiler
generated code. The heap allocations could have been passed
to `ShallowCopy` runtime, but I decided to expose the allocations
so that the temporary descriptor passed to `ShallowCopyDirect`
has `nocapture` - maybe this will be better for LLVM optimizations.
This change enables LoopVersioning when `fir.pack_array` is met
in the def-use chain. It fixes a couple of huge performance regressions
caused by enabling `-frepack-arrays`.
This patch makes the `map_type` and `map_capture_type` arguments of the
`omp.map.info` operation required, which was already an invariant being
verified by its users via `verifyMapClause()`. This makes it clearer, as
getters no longer return misleading `std::optional` values.
Checks for the `mapper_id` argument are moved to a verifier for the
operation, rather than being checked by users.
Functionally NFC, but not marked as such due to a reordering of
arguments in the assembly format of `omp.map.info`.
I am working on `-frepack-array` feature (#127147), which produces
non-trivial manipulations with arguments of `fir.declare`.
In this case, we end up with CFG computation of the `fir.declare`
argument, and AddDebugInfo pass incorrectly mapped two dummy arguments
to the same arg index in the debug attributes.
This patch makes sure that we assign the arg index only if we can prove
that we've traced the block argument to the function's entry block.
I believe this problem is not specific to `-frepack-arrays`, e.g.
it may appear due to MLIR inlining as well.
Given the following input:
```fortran
program rep_loopbind
implicit none
integer :: i
real :: priv_val
!$omp teams private(priv_val)
!$omp distribute
do i=1,1000
end do
!$omp end teams
end program
```
the `AllocaOpConversion` pattern in `FIRToLLVMLowering` would **move**
the private allocations that belong to the `teams` directive (i.e. the
allocations needed for the private copies of `priv_val` and the loop's
iteration variable) from the the `omp.teams` op to the outside scope.
This is not correct since these allocations should be eventually emitted
inside the outlined region for the `teams` directive. Without this fix,
these allocation would be emitted in the parent function (or the parent
scope whatever it is).
If mask is a scalar, it always converts to !fir.box<!fir.array<1xi1>>.
The wrong value may be picked up when passing to the function
on the big endian platform. This patch is to do the conversion
based on the original type of the mask and convert the value to
i1 after the load.
After #127231, fir.coordinate_of should directly carry the field.
I updated the lowering and codegen tests in #12731, but not the FIR to
FIR tests, which is what this patch is cleaning up.
This patch updates fir.coordinate_op to carry the field index as
attributes instead of relying on getting it from the fir.field_index
operations defining its operands.
The rational is that FIR currently has a few operations that require
DAGs to be preserved in order to be able to do code generation. This is
the case of fir.coordinate_op, which requires its fir.field operand
producer to be visible.
This makes IR transformation harder/brittle, so I want to update FIR to
get rid if this.
Codegen/printer/parser of fir.coordinate_of and many tests need to be
updated after this change.
This change is inspired by a case in facerec benchmark, where
performance
of scalar code may improve by about 6%@aarch64 due to getting rid of
redundant
loads from Fortran descriptors. These descriptors are corresponding
to subroutine local ALLOCATABLE, SAVE variables. The scalar loop nest
in LocalMove subroutine contains call to Fortran runtime IO functions,
and LLVM globals-aa analysis cannot prove that these calls do not modify
the globalized descriptors with internal linkage.
This patch sets and propagates llvm.memory_effects attribute for
fir.call
operations calling Fortran runtime functions. In particular, it tries
to set the Other memory effect to NoModRef. The Other memory effect
includes accesses to globals and captured pointers, so we cannot set
it for functions taking Fortran descriptors with one exception
for calls where the Fortran descriptor arguments are all null.
As long as different calls to the same Fortran runtime function may have
different attributes, I decided to attach the attributes to the calls
rather than functions. Moreover, attaching the attributes to func.func
will require propagating these attributes to llvm.func, which is not
happening right now.
In addition to llvm.memory_effects, the new pass sets llvm.nosync
and llvm.nocallback attributes that may also help LLVM alias analysis
(e.g. see #127707). These attributes are ignored currently.
I will support them in LLVM IR dialect in a separate patch.
I also added another pass for developers to be able to print
declarations/calls of all Fortran runtime functions that are recognized
by the attributes setting pass. It should help with maintenance
of the LIT tests.
This change is inspired by a case in facerec benchmark, where
performance
of scalar code may improve by about 6%@aarch64 due to getting rid of
redundant
loads from Fortran descriptors. These descriptors are corresponding
to subroutine local ALLOCATABLE, SAVE variables. The scalar loop nest
in LocalMove subroutine contains call to Fortran runtime IO functions,
and LLVM globals-aa analysis cannot prove that these calls do not modify
the globalized descriptors with internal linkage.
This patch sets and propagates llvm.memory_effects attribute for
fir.call
operations calling Fortran runtime functions. In particular, it tries
to set the Other memory effect to NoModRef. The Other memory effect
includes accesses to globals and captured pointers, so we cannot set
it for functions taking Fortran descriptors with one exception
for calls where the Fortran descriptor arguments are all null.
As long as different calls to the same Fortran runtime function may have
different attributes, I decided to attach the attributes to the calls
rather than functions. Moreover, attaching the attributes to func.func
will require propagating these attributes to llvm.func, which is not
happening right now.
In addition to llvm.memory_effects, the new pass sets llvm.nosync
and llvm.nocallback attributes that may also help LLVM alias analysis
(e.g. see #127707). These attributes are ignored currently.
I will support them in LLVM IR dialect in a separate patch.
I also added another pass for developers to be able to print
declarations/calls of all Fortran runtime functions that are recognized
by the attributes setting pass. It should help with maintenance
of the LIT tests.
Extends support for the `loop` directive by adding support for `parallel
loop` combined directive.
Parent PR: #127489. Only the latest commit is relevant.
Extends generic `loop` directive support by supporting the `bind`
clause. Since semantic checking does the heavy lifting of verifying the
proper usage of the clause modifier, we can simply enable code-gen for
`teams loop bind(...)` without the need to differentiate between the
values the the clause can accept.
The intention of this work is to give MLIR->LLVMIR conversion freedom to
control how the private variable is allocated so that it can be
allocated on the stack in ordinary cases or as part of a structure used
to give closure context for tasks which might outlive the current stack
frame. See RFC:
https://discourse.llvm.org/t/rfc-openmp-supporting-delayed-task-execution-with-firstprivate-variables/83084
For example, a privatizer for an integer used to look like
```mlir
omp.private {type = private} @x.privatizer : !fir.ref<i32> alloc {
^bb0(%arg0: !fir.ref<i32>):
%0 = ... allocate proper memory for the private clone ...
omp.yield(%0 : !fir.ref<i32>)
}
```
After this change, allocation become implicit in the operation:
```mlir
omp.private {type = private} @x.privatizer : i32
```
For more complex types that require initialization after allocation, an
init region can be used:
``` mlir
omp.private {type = private} @x.privatizer : !some.type init {
^bb0(%arg0: !some.pointer<!some.type>, %arg1: !some.pointer<!some.type>):
// initialize %arg1, using %arg0 as a mold for allocations
omp.yield(%arg1 : !some.pointer<!some.type>)
} dealloc {
^bb0(%arg0: !some.pointer<!some.type>):
... deallocate memory allocated by the init region ...
omp.yield
}
```
This patch lays the groundwork for delayed task execution but is not
enough on its own.
After this patch all gfortran tests which previously passed still pass.
There
are the following changes to the Fujitsu test suite:
- 0380_0009 and 0435_0009 are fixed
- 0688_0041 now fails at runtime. This patch is testing firstprivate
variables with tasks. Previously we got lucky with the undefined
behavior and won the race. After these changes we no longer get lucky.
This patch lays the groundwork for a proper fix for this issue.
In flang the lowering re-uses the existing lowering used for reduction
init and dealloc regions.
In flang, before this patch we hit a TODO with the same wording when
generating the copy region for firstprivate polymorphic variables. After
this patch the box-like fir.class is passed by reference into the copy
region, leading to a different path that didn't hit that old TODO but
the generated code still didn't work so I added a new TODO in
DataSharingProcessor.
This PR removes the old `nocapture` attribute, replacing it with the new
`captures` attribute introduced in #116990. This change is
intended to be essentially NFC, replacing existing uses of `nocapture`
with `captures(none)` without adding any new analysis capabilities.
Making use of non-`none` values is left for a followup.
Some notes:
* `nocapture` will be upgraded to `captures(none)` by the bitcode
reader.
* `nocapture` will also be upgraded by the textual IR reader. This is to
make it easier to use old IR files and somewhat reduce the test churn in
this PR.
* Helper APIs like `doesNotCapture()` will check for `captures(none)`.
* MLIR import will convert `captures(none)` into an `llvm.nocapture`
attribute. The representation in the LLVM IR dialect should be updated
separately.
This PR adds debug support for common block in flang. As variable which
are part of a common block don't have a special marker to recognize
them, we use the following check to find them.
%0 = fir.address_of(@a)
%1 = fir.convert %0
%2 = fir.coordinate_of %1, %c0
%3 = fir.convert %2
%4 = fircg.ext_declare %3
If the memref of a fircg.ext_declare points to a fir.coordinate_of and
that in turn points to an fir.address_of (ignoring immediate
fir.convert) then we assume that it is a common block variable. The
fir.address_of gives us the global symbol which is the storage for
common block and fir.coordinate_of provides the offset in this storage.
The debug hierarchy looks like as
subroutine f3
integer :: x, y
common /a/ x, y
end subroutine
@a_ = global { ... } { ... }, !dbg !26, !dbg !28!23 = !DISubprogram(name: "f3"...)
!24 = !DICommonBlock(scope: !23, name: "a", ...)
!25 = !DIGlobalVariable(name: "x", scope: !24 ...)
!26 = !DIGlobalVariableExpression(var: !25, expr: !DIExpression())
!27 = !DIGlobalVariable(name: "y", scope: !24 ...)
!28 = !DIGlobalVariableExpression(var: !27, expr:
!DIExpression(DW_OP_plus_uconst, 4))
This required following changes:
1. Instead of using DIGlobalVariableAttr in the FusedLoc of GlobalOp, we
use DIGlobalVariableExpressionAttr. This allows us the generate the
DIExpression where we have the information.
2. Previously, only one DIGlobalVariableExpressionAttr could be linked
to one global op. I recently removed this restriction in mlir. To make
use of it, we add an ArrayAttr to the FusedLoc of a GlobalOp. This
allows us to pass multiple DIGlobalVariableExpressionAttr.
3. I was depending on the name of global for the name of the common
block. The name gets a '_' appended. I could not find a utility function
in flang to remove it so I have to brute force it.
This removes mentions of `target` from the generic `loop` rewrite pass
since there is not need for it anyway. It is enough to detect `loop`'s
nesting within `teams` or `parallel` directives.
Extends conversion support for `loop` directives. This PR handles
standalone `loop` constructs that do not have a `bind` clause attached
by rewriting them to equivalent `simd` constructs. The reasoning behind
that decision is documented in the rewrite function itself.
Runtime function call to a void function are producing a ssa value
because the FunctionType result is set to NoneType with is later
translated to a empty struct. This is not an issue when going to LLVM IR
but it breaks when lowering a gpu module to PTX. This patch update the
RTModel to correctly set the FunctionType result type to nothing.
This is one runtime call before this patch at the LLVM IR dialect step.
```
%45 = llvm.call @_FortranAAssign(%arg0, %1, %44, %4) : (!llvm.ptr, !llvm.ptr, !llvm.ptr, i32) -> !llvm.struct<()>
```
After the patch the call would be correctly formed
```
llvm.call @_FortranAAssign(%arg0, %1, %44, %4) : (!llvm.ptr, !llvm.ptr, !llvm.ptr, i32) -> ()
```
Without the patch it would lead to error like:
```
ptxas /tmp/mlir-cuda_device_mod-nvptx64-nvidia-cuda-sm_60-e804b6.ptx, line 10; error : Output parameter cannot be an incomplete array.
ptxas /tmp/mlir-cuda_device_mod-nvptx64-nvidia-cuda-sm_60-e804b6.ptx, line 125; error : Call has wrong number of parameters
```
The change is pretty much mechanical.
`findAllocaLoopInsertionPoint()` hit assertion not being able
to find the `fir.freemem` because of the `fir.convert`.
I think it is better to look for `fir.freemem` same way
with the look-through walk.
This does add a little computational complexity because now every
freemem operation has to be tested for every allocation. This could be
improved with some more memoisation but I think it is easier to read
this way. Let me know if you would prefer me to change this to
pre-compute the normalised addresses each freemem operation is using.
Weirdly, this change resulted in a verifier failure for the fir.declare
in the previous test case. Maybe it was previously removed as dead code
and now it isn't. Anyway I fixed that too.
Attempt to address the following example from causing an assert or ICE:
```
subroutine test(a)
implicit none
integer :: i
real(kind=real64), dimension(:) :: a
real(kind=real64), dimension(size(a, 1)) :: b
!$omp target map(tofrom: b)
do i = 1, 10
b(i) = i
end do
!$omp end target
end subroutine
```
Where we utilise a Fortran intrinsic (size) to calculate the size of
allocatable arrays and then map it to device.
Loops resulting from array expressions like array(:,i)
may be versioned for the unit stride of the innermost dimension,
when the initial array is an assumed-shape array (which are contiguous
in many Fortran programs).
This speeds up facerec for about 12% due to further vectorization
of the innermost loop produced for the total SUM reduction.
This re-applies #117867 with a small fix that hopefully prevents build
bot failures. The fix is avoiding `dyn_cast` for the result of
`getOperation()`. Instead we can assign the result to `mlir::ModuleOp`
directly since the type of the operation is known statically (`OpT` in
`OperationPass`).
This is a starting PR to implicitly map allocatable record fields.
This PR contains the following changes:
1. Re-purposes some of the utils used in `Lower/OpenMP.cpp` so that
these utils work on the `mlir::Value` level rather than the
`semantics::Symbol` level. This takes one step towards to enabling
MLIR passes to more easily do some lowering themselves (e.g. creating
`omp.map.bounds` ops for implicitely caputured data like this PR
does).
2. Adds support for implicitely capturing and mapping allocatable fields
in record types.
There is quite some distant to still cover to have full support for
this. I added a number of todos to guide further development.
Co-authored-by: Andrew Gozillon <andrew.gozillon@amd.com>
Co-authored-by: Andrew Gozillon <andrew.gozillon@amd.com>
When compiling WORKSHARE construct in different compilation units, a
linker error happened, when two equal WORKSHARE constructs with a copy
operation have been compiled:
```
/usr/bin/ld: module2.o: in function `_workshare_copy_f64':
FIRModule:(.text+0x0): multiple definition of `_workshare_copy_f64'; module1.o:FIRModule:(.text+0x0): first defined here
```
Reason is that the generate copy function has the wrong linkage:
```
0000000000000000 T _workshare_copy_f64
```
while it should be
```
0000000000000000 t _workshare_copy_f64
```
Introduces a new conversion pass that rewrites `omp.loop` ops to their
semantically equivalent op nests bases on the surrounding/binding
context of the `loop` op. Not all forms of `omp.loop` are supported yet.
See `isLoopConversionSupported` for more info on which forms are
supported.
This patch adds parallelization support for the following expression in OpenMP
workshare constructs:
* Elemental procedures in array expressions
(reapplied with linking fix)
Add a new pass that lowers an `omp.workshare` with its binding `omp.workshare.loop_wrapper` loop nests into other OpenMP constructs that can be lowered to LLVM.
More specifically, in order to preserve the sequential execution semantics of the code contained, it wraps portions that needs to be executed on a single thread in `omp.single` blocks, converts code that must be parallelized into `omp.wsloop` nests and inserts the appropriate synchronization.
This PR adds the handling of `ClassType`. It is treated as pointer to
the underlying type. Note that `ClassType` when passed to the function
have double indirection so it is represented as pointer to type
(compared to other types which may have a single indirection).
If `ClassType` wraps a pointer or allocatable then we take care to
generate it as PTR -> type (and not PTR -> PTR -> type).
This is how it looks like in the debugger.
```
subroutine test_proc (this)
class(test_type), intent (inout) :: this
allocate (this%b (3, 2))
call fill_array_2d (this%b)
print *, this%a
end
```
```
(gdb) p this
$6 = (PTR TO -> ( Type test_type )) 0x2052a0
(gdb) p this%a
$7 = 0
(gdb) p this%b
$8 = ((1, 2, 3) (4, 5, 6))
```
This PR is one of 3 in a PR stack, this is the primary change set which
seeks to extend the current derived type explicit member mapping support
to handle descriptor member mapping at arbitrary levels of nesting. The
PR stack seems to do this reasonably (from testing so far) but as you
can create quite complex mappings with derived types (in particular when
adding allocatable derived types or arrays of allocatable derived types)
I imagine there will be hiccups, which I am more than happy to address.
There will also be further extensions to this work to handle the
implicit auto-magical mapping of descriptor members in derived types and
a few other changes planned for the future (with some ideas on
optimizing things).
The changes in this PR primarily occur in the OpenMP lowering and the
OMPMapInfoFinalization pass.
In the OpenMP lowering several utility functions were added or extended
to support the generation of appropriate intermediate member mappings
which are currently required when the parent (or multiple parents) of a
mapped member are descriptor types. We need to map the entirety of these
types or do a "deep copy" for lack of a better term, where we map both
the base address and the descriptor as without the copying of both of
these we lack the information in the case of the descriptor to access
the member or attach the pointers data to the pointer and in the latter
case we require the base address to map the chunk of data. Currently we
do not segment descriptor based derived types as we do with regular
non-descriptor derived types, we effectively map their entirety in all
cases at the moment, I hope to address this at some point in the future
as it adds a fair bit of a performance penalty to having nestings of
allocatable derived types as an example. The process of mapping all
intermediate descriptor members in a members path only occurs if a
member has an allocatable or object parent in its symbol path or the
member itself is a member or allocatable. This occurs in the
createParentSymAndGenIntermediateMaps function, which will also generate
the appropriate address for the allocatable member within the derived
type to use as a the varPtr field of the map (for intermediate
allocatable maps and final allocatable mappings). In this case it's
necessary as we can't utilise the usual Fortran::lower functionality
such as gatherDataOperandAddrAndBounds without causing issues later in
the lowering due to extra allocas being spawned which seem to affect the
pointer attachment (at least this is my current assumption, it results
in memory access errors on the device due to incorrect map information
generation). This is similar to why we do not use the MLIR value
generated for this and utilise the original symbol provided when mapping
descriptor types external to derived types. Hopefully this can be
rectified in the future so this function can be simplified and more
closely aligned to the other type mappings. We also make use of
fir::CoordinateOp as opposed to the HLFIR version as the HLFIR version
doesn't support the appropriate lowering to FIR necessary at the moment,
we also cannot use a single CoordinateOp (similarly to a single GEP) as
when we index through a descriptor operation (BoxType) we encounter
issues later in the lowering, however in either case we need access to
intermediate descriptors so individual CoordinateOp's aid this
(although, being able to compress them into a smaller amount of
CoordinateOp's may simplify the IR and perhaps result in a better end
product, something to consider for the future).
The other large change area was in the OMPMapInfoFinalization pass,
where the pass had to be extended to support the expansion of box types
(or multiple nestings of box types) within derived types, or box type
derived types. This requires expanding each BoxType mapping from one
into two maps and then modifying all of the existing member indices of
the overarching parent mapping to account for the addition of these new
members alongside adjusting the existing member indices to support the
addition of these new maps which extend the original member indices (as
a base address of a box type is currently considered a member of the box
type at a position of 0 as when lowered to LLVM-IR it's a pointer
contained at this position in the descriptor type, however, this means
extending mapped children of this expanded descriptor type to
additionally incorporate the new member index in the correct location in
its own index list). I believe there is a reasonable amount of comments
that should aid in understanding this better, alongside the test
alterations for the pass.
A subset of the changes were also aimed at making some of the utilities
for packing and unpacking the DenseIntElementsAttr containing the member
indices shareable across the lowering and OMPMapInfoFinalization, this
required moving some functions to the Lower/Support/Utils.h header, and
transforming the lowering structure containing the member index data
into something more similar to the version used in
OMPMapInfoFinalization. There we also some other attempts at tidying
things up in relation to the member index data generation in the
lowering, some of which required creating a logical operator for the
OpenMP ID class so it can be utilised as a map key (it simply utilises
the symbol address for the moment as ordering isn't particularly
important).
Otherwise I have added a set of new tests encompassing some of the
mappings currently supported by this PR (unfortunately as you can have
arbitrary nestings of all shapes and types it's not very feasible to
cover them all).
This patch primarily updates the MapInfoFinalization pass to utilise the
BlockArgument interface. It also shuffles newly added arguments the
MapInfoFinalization passes to the end of the BlockArg/Relevant MapInfo
lists, instead of one prior to the owning descriptor type.
During this it was noted that the use_device_ptr/addr handling of target
data was a little bit too order dependent so I've attempted to make it
less so, as we cannot depend on argument ordering to be the same as
Fortran for any future frontends.