Yujia Zhai and yuzhai
b84e9802d8
update 3.8 v2 ( #2112 )
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* update 3.8 v2
* update 3.8
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Co-authored-by: yuzhai <yuzhai@nvidia.com >
2025-02-19 22:03:14 -05:00
b78588d163
CUTLASS 3.7 ( #2045 )
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* CUTLASS 3.7
* clean up changelog
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Co-authored-by: yuzhai <yuzhai@nvidia.com >
Co-authored-by: Haicheng Wu <haichengw@nvidia.com >
2025-01-18 09:53:07 -05:00
3d261a5974
3.6.0 update ( #2005 )
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* 3.6.0 update
* doc and swap stuff
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Co-authored-by: yuzhai <yuzhai@nvidia.com >
Co-authored-by: Haicheng Wu <haichengw@nvidia.com >
2024-12-25 01:34:40 -05:00
Vijay Thakkar
be60a0b272
CUTLASS 3.5.1 ( #1623 )
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* CUTLASS 3.5.1
* updates, optimizations, fixes
2024-07-29 08:46:24 -04:00
Vijay Thakkar
7d49e6c7e2
Updates for CUTLASS 3.5.0 ( #1468 )
2024-04-11 21:33:40 -04:00
Vijay Thakkar
629f4653c3
CUTLASS 3.5.0 ( #1411 )
2024-03-19 17:51:04 -04:00
ANIKET SHIVAM
751eb9a885
Update license year ( #1306 )
2024-01-16 14:37:22 -05:00
Pradeep Ramani and Pradeep Ramani
8236f30675
CUTLASS 3.4.0 ( #1286 )
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* CUTLASS 3.4.0
* Update CHANGELOG.md
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Co-authored-by: Pradeep Ramani <prramani@nvidia.com >
2023-12-29 15:21:31 -05:00
ANIKET SHIVAM
90d3b0fb18
CUTLASS 3.2.1 ( #1113 )
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* Updates for 3.2.1 release.
* Minor fix in gemm op profiler for raster order.
* Add scheduler mapping for raster order in the kernels.
2023-09-26 17:24:26 -04:00
ANIKET SHIVAM
4575443d44
CUTLASS 3.2 ( #1024 )
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* CUTLASS 3.2
2023-08-07 20:50:32 -04:00
ANIKET SHIVAM and Aniket Shivam
d572cc1aab
CUTLASS 3.1 ( #915 )
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Co-authored-by: Aniket Shivam <ashivam@nvidia.com >
2023-04-14 23:19:34 -04:00
Feng Shijie and Haicheng Wu
bc36122c3f
[layout] Fix AffineRank2ColumnMajor::packed() ( #879 )
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* [layout] Fix AffineRank2ColumnMajor::packed()
* correct affine2row::packed
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Co-authored-by: Haicheng Wu <haichengw@nvidia.com >
2023-03-29 11:59:48 -04:00
Vijay Thakkar
277bd6e537
CUTLASS 3.0.0 ( #786 )
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* CUTLASS 3.0.0
2023-01-23 20:55:28 -05:00
ANIKET SHIVAM and Aniket Shivam
66d9cddc83
New updates for 2.11 ( #775 )
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* New updates.
* Minor profiler updates
Co-authored-by: Aniket Shivam <ashivam@nvidia.com >
2023-01-20 16:32:57 -05:00
Aditya Atluri
c975e2ccbb
releaase 2.11 ( #703 )
2022-11-19 09:02:15 -05:00
Wenzhuo Liu
cd37e82492
change unused class member to local var ( #646 )
2022-09-28 23:52:35 -04:00
Wenzhuo Liu
7a458f00a6
fix(permute.h): incorrect comment in Tensor5DPermute20314 ( #637 )
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* fix(permute.h): incorrect comment in `Tensor5DPermute20314`
* typo in usage in example 39
2022-09-22 09:21:13 -04:00
ANIKET SHIVAM and Aniket Shivam
b72cbf957d
CUTLASS 2.10 ( #615 )
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Co-authored-by: Aniket Shivam <ashivam@nvidia.com >
2022-09-03 18:48:46 -04:00
Andrew Kerr
12f4108ac2
CUTLASS 2.9 ( #468 )
2022-04-23 15:02:38 -04:00
Feng Shijie
cd39c75e25
Fix typo in docs, code comments ( #429 )
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* [docs] fix typo in media/docs/layout.md
* [docs] fix comment error
* fix typo in include/cutlass/arch/simd_61.h
* fix stride comment errors in TensorLayout
2022-03-15 21:54:36 -04:00
Manish Gupta
1ac4559d12
Cutlass 2.6 Update 1 ( #301 )
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* cutlass 2.6 update
* remove debug prints
2021-07-27 17:58:30 -07:00
Manish Gupta
e5d51840e8
CUTLASS 2.6 ( #298 )
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CUTLASS 2.6
2021-07-23 00:40:53 -04:00
Andrew Kerr
0e13748649
CUTLASS 2.5
2021-02-26 09:58:26 -05:00
Manish Gupta and Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
6615010cd0
CUTLASS 2.4 (Implicit GEMM convolution) ( #147 )
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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 )
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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
86931fef85
CUTLASS 2.2 ( #96 )
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Adds support for NVIDIA Ampere Architecture features. CUDA 11 Toolkit recommended.
2020-06-08 16:17:35 -07:00
Andrew Kerr
96dab34ad9
CUTLASS 2.1 ( #83 )
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CUTLASS 2.1 contributes:
- BLAS-style host-side API added to CUTLASS Library
- Planar Complex GEMM kernels targeting Volta and Turing Tensor Cores
- Minor enhancements and bug fixes
2020-04-07 13:51:25 -07:00
Andrew Kerr
fb335f6a5f
CUTLASS 2.0 ( #62 )
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CUTLASS 2.0
Substantially refactored for
- Better performance, particularly for native Turing Tensor Cores
- Robust and durable templates spanning the design space
- Encapsulated functionality embodying modern C++11 programming techniques
- Optimized containers and data types for efficient, generic, portable device code
Updates to:
- Quick start guide
- Documentation
- Utilities
- CUTLASS Profiler
Native Turing Tensor Cores
- Efficient GEMM kernels targeting Turing Tensor Cores
- Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands
Coverage of existing CUTLASS functionality:
- GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs
- Volta Tensor Cores through native mma.sync and through WMMA API
- Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions
- Batched GEMM operations
- Complex-valued GEMMs
Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-19 16:55:34 -08:00