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e01b9b5029b7caca5a43c29f7d2714d7cf1dcae8
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8 Commits

Author SHA1 Message Date
Vijay Thakkar
e01b9b5029 Shard gemm reference templates into multiple TUs for parallel compilation (#1043) 
* Split apart gemm reference templates into multiple TUs for parallel compilation

* remove old files

* better balancing of ref kernels across TUs

* remove 3 new added refcheck kernels and some un-necessary fp8 library instances to reduce lib size

* remove auto fp8 kernels

* remove some redundant kernels
 2023-08-30 16:46:30 -04:00
ANIKET SHIVAM
4575443d44 CUTLASS 3.2 (#1024) 
* CUTLASS 3.2
 2023-08-07 20:50:32 -04:00
ANIKET SHIVAM
66d9cddc83 New updates for 2.11 (#775) 
* New updates.

* Minor profiler updates

Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
 2023-01-20 16:32:57 -05:00
Andrew Kerr
12f4108ac2 CUTLASS 2.9 (#468) 2022-04-23 15:02:38 -04:00
Manish Gupta
1ac4559d12 Cutlass 2.6 Update 1 (#301) 
* cutlass 2.6 update

* remove debug prints
 2021-07-27 17:58:30 -07:00
Andrew Kerr
0e13748649 CUTLASS 2.5 2021-02-26 09:58:26 -05:00
Manish Gupta
6615010cd0 CUTLASS 2.4 (Implicit GEMM convolution) (#147) 
CUTLASS 2.4 (Implicit GEMM Convolution)

Co-authored-by: Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
 2020-11-19 21:25:25 -08:00
Andrew Kerr
c53f3339bb CUTLASS 2.3 initial commit (#134) 
CUTLASS 2.3 adds GEMMs targeting Sparse Tensor Cores on the NVIDIA Ampere Architecture, fast SGEMM, and small matrix classes, bug fixes, and performance enhancements.
 2020-09-23 14:00:58 -07:00