Skip to content

Commit

Permalink
Listed Matthew Nicely as the CUTLASS product manager.. (NVIDIA#364)
Browse files Browse the repository at this point in the history
  • Loading branch information
kerrmudgeon authored Nov 20, 2021
1 parent 808c253 commit 62e438f
Show file tree
Hide file tree
Showing 3 changed files with 6 additions and 4 deletions.
2 changes: 1 addition & 1 deletion CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
* Optimal performance using [**CUDA 11.5**](https://developer.nvidia.com/cuda-downloads)
* Updates from the community (thanks!)

* **Deprecation announcement:** CUTLASS plans to deprecate the following platforms in the future. Let us know if this affects your use case.
* **Deprecation announcement:** CUTLASS plans to deprecate the following:
* Maxwell and Pascal GPU architectures
* Ubuntu 16.04
* CUDA 10.2
Expand Down
6 changes: 4 additions & 2 deletions CONTRIBUTORS.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ This is the official list of CUTLASS developers and contributors.
## DEVELOPERS
Andrew Kerr
Haicheng Wu
Manish Gupta
Manish Gupta
Dustyn Blasig
Pradeep Ramani
Naila Farooqui
Expand All @@ -24,6 +24,9 @@ Markus Hohnerbach
Aditya Atluri
David Tanner
Manikandan Ananth

## CUTLASS Product Manager
Matthew Nicely

## CONTRIBUTORS
Timothy Costa
Expand Down Expand Up @@ -56,7 +59,6 @@ Olivier Giroux
Stephen Jones
Rishkul Kulkarni
Bryce Lelbach
Matthew Nicely
Joel McCormack
Kyrylo Perelygin

Expand Down
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@ CUTLASS 2.8 is an update to CUTLASS adding:
- [Grouped GEMM:](/examples/24_gemm_grouped) similar to batched GEMM with distinct problem size per group
- [Implicit GEMM Convolution fusion](/examples/13_two_tensor_op_fusion/) supports staging 1st convolution's output accumulator in the shared memory on Turing.
- Optimal performance using [CUDA 11.5](https://developer.nvidia.com/cuda-downloads)
- CUTLASS plans to **deprecate** the following platforms in the future. Let us know if this affects your use case.
- **Deprecation announcement:** CUTLASS plans to deprecate the following:
- Maxwell and Pascal GPU architectures
- Ubuntu 16.04
- CUDA 10.2
Expand Down

0 comments on commit 62e438f

Please sign in to comment.