The Inspector-executor Sparse BLAS API can perform several operations involving sparse matrices. These notations are used in the description of the operations:

  • A, G, V are sparse matrices

  • B and C are dense matrices

  • x and y are dense vectors

  • alpha and beta are scalars

op(A) represents a possible transposition of matrix A

  • op(A) = A

  • op(A) = AT - transpose of A

  • op(A) = AH - conjugate transpose of A

op(A)-1 denotes the inverse of op(A).

The Inspector-executor Sparse BLAS routines support the following operations:

  • computing the vector product between a sparse matrix and a dense vector:

    y := alpha*op(A)*x + beta*y

  • solving a single triangular system:

    y := alpha*inv(op(A))*x

  • computing a product between a sparse matrix and a dense matrix:

    C := alpha*op(A)*B + beta*C

  • computing a product between sparse matrices with a sparse result:
    V := alpha*op(A)*op(G)
  • computing a product between sparse matrices with a dense result:
    C := alpha*op(A)*op(G)
  • computing a sum of sparse matrices with a sparse result:
    V := alpha*op(A) + G
  • solving a sparse triangular system with multiple right-hand sides:

    C := alpha*inv(op(A))*B

Para obtener información más completa sobre las optimizaciones del compilador, consulte nuestro Aviso de optimización.
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