| CUTLASS CUDA Templates for Linear Algebra Subroutines and Solvers

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kernel Directory Reference
Directory dependency graph for kernel:

## 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 [code]
| 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 [code]
| Template for GEMM performing a reduction over K partitions in parallel.
file | gemv_batched_strided.h [code]