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CUTLASS: kernel Directory Reference

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CUDA Templates for Linear Algebra Subroutines and Solvers |

kernel Directory Reference

Directory dependency graph for kernel:

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Files

| | file | default_gemm.h [code] | | | Default kernel-level GEMM definitions combine threadblock-scoped matrix multiply-add with the appropriate threadblock-scoped epilogue.
| | | | file | [default_gemm_splitk_parallel.h](default gemm splitk__parallel_8h.html) [[code]](default__gemm splitk parallel_8h_source.html) | | | Default kernel-level GEMM definitions combine threadblock-scoped matrix multiply-add with the appropriate threadblock-scoped epilogue.
| | | | file | default_gemv.h [code] | | | | file | include/cutlass/gemm/kernel/gemm.h [code] | | | Template for a pipelined GEMM kernel. Does not compute batching or support split-K.
| | | | file | kernel/gemm_batched.h [code] | | | Template for a pipelined GEMM kernel. Does not compute batching or support split-K.
| | | | file | gemm_pipelined.h [code] | | | Template for a pipelined GEMM kernel. Does not compute batching or support split-K.
| | | | file | [kernel/gemm_splitk_parallel.h](kernel_2gemm splitk parallel_8h.html) [[code]](kernel_2gemm splitk parallel_8h_source.html) | | | Template for GEMM performing a reduction over K partitions in parallel.
| | | | file | [gemv_batched_strided.h](gemv batched strided_8h.html) [[code]](gemv batched strided_8h_source.html) | | |


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