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ccb697bac77fcc898e9c897b2c90aa5b60ac72fb
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4 Commits

Author SHA1 Message Date
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
Andrew Kerr
fd7e058d0c Added examples to enable the unity build (#102) 
* Updated documentation of fused GEMM example and removed UNITY BUILD batch size. The default batch size when unity build is enabled tends to be favorable.
 2020-06-17 07:09:18 -07:00
Andrew Kerr
86931fef85 CUTLASS 2.2 (#96) 
Adds support for NVIDIA Ampere Architecture features. CUDA 11 Toolkit recommended.
 2020-06-08 16:17:35 -07:00