| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | [NVPTX] Fixed vectorized LDG for f16. | Artem Belevich | 2018-04-06 | 1 | -0/+45 |
| | | | | | | | | | | v2f16 is a special case in NVPTX. v4f16 may be loaded as a pair of v2f16 and that was not previously handled correctly by tryLDGLDU() Differential Revision: https://reviews.llvm.org/D45339 llvm-svn: 329456 | ||||
| * | [NVPTX] Add tests that invariant vector loads get lowered to ld.global.nc. | Justin Lebar | 2017-02-04 | 1 | -0/+24 |
| | | | | | llvm-svn: 294082 | ||||
| * | [NVPTX] Use ldg for explicitly invariant loads. | Justin Lebar | 2016-09-11 | 1 | -0/+27 |
| Summary: With this change (plus some changes to prevent !invariant from being clobbered within llvm), clang will be able to model the __ldg CUDA builtin as an invariant load, rather than as a target-specific llvm intrinsic. This will let the optimizer play with these loads -- specifically, we should be able to vectorize them in the load-store vectorizer. Reviewers: tra Subscribers: jholewinski, hfinkel, llvm-commits, chandlerc Differential Revision: https://reviews.llvm.org/D23477 llvm-svn: 281152 | |||||
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index : bcm5719-llvm | |
| Project Ortega BCM5719 LLVM | Raptor Computing Systems |
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