[FEA] Blackwell support for python libraries.
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- Dominant language
- C++
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Description
Is your feature request related to a problem? Please describe.
I use CUTLASS python library for maximizing GEMM performance in a deployed model. We recently upgraded the hardware to Blackwell (cc 120), and found CUTLASS python library (both released 3.8 and 3.9 on main branch) does not support Blackwell.
Describe the solution you'd like
nvidia-cutlass should support Blackwell.
Describe alternatives you've considered
No alternatives.
Additional context
N/A
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Begin by mapping the CUTLASS Python library's current architecture support and how compute capability 120 is represented; done means the Python libraries support Blackwell and the relevant behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- hpc, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100