Refactor Cutlass BF16 Grouped GEMM #4124
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
✅ Deploy Preview for pytorch-fbgemm-docs ready!
To edit notification comments on pull requests, go to your Netlify project configuration. |
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 15, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 15, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 15, 2025
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 15, 2025
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 16, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 19, 2025
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 20, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 20, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 20, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 20, 2025
Summary: X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
cthi
pushed a commit
to cthi/FBGEMM-1
that referenced
this pull request
May 20, 2025
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
Summary: Pull Request resolved: pytorch#4124 X-link: facebookresearch/FBGEMM#1205 We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with [cutlass FP8 rowwise](https://www.internalfb.com/code/fbsource/fbcode/deeplearning/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/cutlass_extensions/f8f8bf16_rowwise/), to keep the next diffs smaller. No functional changes in this diff. Reviewed By: jianyuh Differential Revision: D74760416
|
This pull request was exported from Phabricator. Differential Revision: D74760416 |
|
This pull request has been merged in 9932686. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary:
X-link: https://github.com/facebookresearch/FBGEMM/pull/1205
We plan to make some changes to the kernel heuristics to improve performance on this kernel. Do a quick refactor first to parallelize kernel compilation, similar with cutlass FP8 rowwise, to keep the next diffs smaller. No functional changes in this diff.
Differential Revision: D74760416