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This folder demonstrates cuSPARSE Generic APIs usage.
cuSPARSE Generic APIs Documentation
The sample demonstrates Sparse Vector - Dense Vector scaling and sum
The sample demonstrates Dense Vector to Sparse Vector element gathering
The sample demonstrates Sparse Vector - Dense Vector Givens rotation
The sample demonstrates Sparse Vector to Dense Vector element scattering
The sample demonstrates Sparse Vector - Dense Vector dot product
The sample demonstrates Sparse Matrix - Dense Vector multiplication, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse Matrix - Dense Vector multiplication, where the sparse matrix is represented in COO (Coordinate) storage format
The sample demonstrates Sparse triangular solver with single right-hand side, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse triangular solver with single right-hand side, where the sparse matrix is represented in COO (Coordinate) storage format
The sample demonstrates Sparse Matrix - Dense Matrix multiplication = Dense Matrix, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Batched Sparse Matrix - Dense Matrix multiplication = Dense Matrix , where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse Matrix - Dense Matrix multiplication = Dense Matrix with Custom Operators, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse Matrix - Dense Matrix multiplication = Dense Matrix, where the sparse matrix is represented in COO (Coordinate) storage format
The sample demonstrates Batched Sparse Matrix - Dense Matrix multiplication = Dense Matrix, where the sparse matrix is represented in COO (Coordinate) storage format
The sample demonstrates Dense Matrix - Dense Matrix multiplication = Sparse Matrix, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse Matrix - Dense Matrix multiplication = Dense Matrix, where the sparse matrix is represented in Blocked-ELL storage format
cusparseSpMM SDDMM - Batched The sample demonstrates Batched Dense matrix - Dense matrix multiplication = Sparse matrix, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse Matrix - Sparse Matrix multiplication = Sparse Matrix, where all operands are sparse matrices represented in CSR (Compressed Sparse Row) storage format
cusparseSpGEMM - Memory Optmization
The sample demonstrates Sparse Matrix - Sparse Matrix multiplication = Sparse Matrix, where all operands are sparse matrices represented in CSR (Compressed Sparse Row) storage format and the memory usage is optimzed
The sample demonstrates Sparse Matrix - Sparse Matrix multiplication = Sparse Matrix, where all operands are sparse matrices represented in CSR (Compressed Sparse Row) storage format and the structure of the output matrix can be reused multiple times
The sample demonstrates Sparse triangular solver with multiple right-hand sides, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Sparse triangular solver with multiple right-hand sides, where the sparse matrix is represented in COO (Coordinate) storage format
The sample demonstrates Sparse Matrix to Dense Matrix conversion, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
The sample demonstrates Dense Matrix to Sparse Matrix conversion, where the sparse matrix is represented in CSR (Compressed Sparse Row) storage format
cusparseDenseToSparse (Blocked-ELL)
The sample demonstrates Dense Matrix to Sparse Matrix conversion, where the sparse matrix is represented in Blocked-Ellpack storage format
The sample demonstrates how to sort a COO format matrix
The sample demonstrates how to solves two penta-diagonal systems with NOT interleaved format
The sample demonstrates how to optimize Sparse vector - Dense vector dot product (cusparseSpVV) by exploiting CUDA Graph Capture functionality
The sample demonstrates how to optimize Sparse vector - Dense vector scaling and sum (cusparseAxpby) by exploiting NVIDIA Ampere architecture Hardware Memory Compression
The sample describes how to use the cuSPARSE and cuBLAS libraries to implement the Incomplete-Cholesky preconditioned iterative Conjugate Gradient (CG)
The sample describes how to use the cuSPARSE and cuBLAS libraries to implement the Incomplete-LU preconditioned iterative Biconjugate Gradient Stabilized Method (BiCGStab)
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