Cublaslt Grouped Gemm Documentation [updated] 📥 💯

In legacy cuBLAS , grouped GEMM often requires specific function pointers (e.g., cublasGemmGrouped ). In cuBLASLt , grouped functionality is invoked via the generic cublasLtMatmul but is configured using or by treating the inputs as an array of problem descriptors.

Create your cublasLtHandle_t using cublasLtCreate() . Define Layouts: Use cublasLtMatrixLayoutCreate for matrices cublaslt grouped gemm documentation

Enter – a game changer for batched, variable-sized matmul operations. In legacy cuBLAS , grouped GEMM often requires

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Unlike standard batched GEMMs, each operation in a group can have unique dimensions. | Function | Purpose | | :--- |

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| Function | Purpose | | :--- | :--- | | cublasLtCreate | Initialize the library handle. | | cublasLtMatmulDescCreate | Create the GEMM operation descriptor. | | cublasLtMatrixLayoutCreate | Define dimensions and memory layout for matrices. | | cublasLtMatmulPreferenceCreate | Define constraints for kernel selection (workspace). | | cublasLtMatmulAlgoGetHeuristic | Find the best kernel for the grouped problem. | | cublasLtMatmul | Execute the grouped matrix multiplication. |