mirror of https://github.com/ROCm/composable_kernel.git synced 2026-05-14 18:17:44 +00:00

Files

linqunAMD 71dc8a9d4d Extend XDL kernel to Support RDNA3/4 - Part 5 (#2725 )

* Enable xdl in gfx11 & gfx12

* update cmake file

* fix all instance build (cmake)

* fix batched_gemm_gemm(cmake)

* rebase cmake files

* fix cmake build error

* remve CK_ENABLE_DYNAMIC_WARP_SIZE

* update cmake build error2

* fix gfx11 build

CK_USE_XDL is enabled on gfx11 and gfx12

* fix gfx10 build

* fix gfx11 error

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Co-authored-by: Lin, Qun <Quentin.Lin+amdeng@amd.com>

[ROCm/composable_kernel commit: f22740df82]

2025-09-15 10:59:25 -07:00

algorithm

refactor: use snake_case naming in ck_tile/core components (#2766 )

2025-09-03 09:34:11 +02:00

arch

Extend XDL kernel to Support RDNA3/4 - Part 5 (#2725 )

2025-09-15 10:59:25 -07:00

container

[CK_TILE] Add permuteN optimization to remove lds operation in c_shuffle (#2764 )

2025-09-08 22:02:48 -07:00

numeric

[CK_TILE] Add gtests for FMHA (#2744 )

2025-09-10 08:06:14 +05:00

tensor

[CK_TILE] Implement Row/Col quant grouped gemm (#2786 )

2025-09-08 10:25:57 -07:00

utility

[Util] add a RAII stuct which inserts markers into generated asm (#2748 )

2025-09-08 22:02:02 -07:00

config.hpp

Fix formatting problem (#2768 )

2025-09-02 14:14:10 +03:00

README.md

introducing ck_tile! (#1216 )

2024-04-15 19:27:12 -05:00

README.md

ck_tile/core

ck_tile/core contains every basic functions and structures to create a GPU kernel using ck_tile. User should only include ck_tile/core.hpp this single header to use all the functionality. Everything is under ck_tile namespace. The coding style under this folder should be similar to std (snake_case for structure/function, Camel for template types...)

algorithm/
    coordinate transform and some other reusable algorithm
arch/
    contains some basic device building block like mma, buffer addressing, etc...
container/
    contains basic container data structure, array/sequence/tuple/...
numeric/
    data type, and data type related math
tensor/
    tensor descriptors and tile level API
utility/
    other utility function for both host/device