youngkingdom/cutlass
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

CUTLASS 2.10 (#615)

Browse Source 
Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
This commit is contained in:
ANIKET SHIVAM
2022-09-03 15:48:46 -07:00
committed by GitHub
parent ca23ff7924
commit b72cbf957d
289 changed files with 43708 additions and 2513 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
media/docs/functionality.md
View File

@ -2,6 +2,8 @@
[README](/README.md#documentation) > **Functionality**
# Functionality
- N - Column Major Matrix
- T - Row Major matrix
- {N,T} x {N,T} - All combinations, i.e. NN, NT, TN, TT
@ -18,8 +20,6 @@
- SpTensorOp - Use Sparse Tensor Core MMA
- WmmaTensorOp - Use WMMA abstraction to use Tensor Core MMA
# Functionality
## Device-level GEMM
The following table summarizes device-level GEMM kernels in CUTLASS, organized by opcode class, data type, and layout.