Siddharth Bhat bccaea57c0 [Polly] [PPCGCodeGeneration] Skip Scops which contain function pointers.
In `PPCGCodeGeneration`, we try to take the references of every `Value`
that is used within a Scop to offload to the kernel. This occurs in
`GPUNodeBuilder::createLaunchParameters`.

This breaks if one of the values is a function pointer, since one of
these cases will trigger:

1. We try to to take the references of an intrinsic function, and this
breaks at `verifyModule`, since it is illegal to take the reference of
an intrinsic.

2. We manage to take the reference to a function, but this fails at
`verifyModule` since the function will not be present in the module that
is created in the kernel.

3. Even if `verifyModule` succeeds (which should not occur), we would
then try to call a *host function* from the *device*, which is
illegal runtime behaviour.

So, we disable this entire range of possibilities by simply not allowing
function references within a `Scop` which corresponds to a kernel.

However, note that this is too conservative. We *can* allow intrinsics
within kernels if the backend can lower the intrinsic correctly. For
example, an intrinsic like `llvm.powi.*` can actually be lowered by the `NVPTX`
backend.

We will now gradually whitelist intrinsics which are known to be safe.

Differential Revision: https://reviews.llvm.org/D33414

llvm-svn: 305185
2017-06-12 11:41:09 +00:00
..
2017-06-08 12:06:15 +00:00
2017-06-06 06:23:20 +00:00

Polly - Polyhedral optimizations for LLVM
-----------------------------------------
http://polly.llvm.org/

Polly uses a mathematical representation, the polyhedral model, to represent and
transform loops and other control flow structures. Using an abstract
representation it is possible to reason about transformations in a more general
way and to use highly optimized linear programming libraries to figure out the
optimal loop structure. These transformations can be used to do constant
propagation through arrays, remove dead loop iterations, optimize loops for
cache locality, optimize arrays, apply advanced automatic parallelization, drive
vectorization, or they can be used to do software pipelining.