matmul(3I)
MATMUL - Performs matrix multiplication of numeric or logical matrices
As shipped in MIPSpro 7.4.3m.
NAME MATMUL - Performs matrix multiplication of numeric or logical matrices SYNOPSIS MATMUL ([MATRIX_A=]matrix_a, [MATRIX_B=]matrix_b) STANDARDS Fortran DESCRIPTION The MATMUL intrinsic function performs matrix multiplication operations on numeric or logical matrices. It accepts the following arguments: matrix_a Must be of numeric type (integer, real, or complex) or of logical type. It must be array valued and of rank one or two. matrix_b Must be of numeric type if matrix_a is of numeric type and of logical type if matrix_a is of logical type. It must be array valued and of rank one or two. If matrix_a has rank one, matrix_b must have rank two. If matrix_b has rank one, matrix_a must have rank two. The size of the first (or only) dimension of matrix_b must equal the size of the last (or only) dimension of matrix_a. MATMUL is a transformational function. The name of this intrinsic cannot be passed as an argument. ENVIRONMENT VARIABLES The F90_MATMUL_BLAS environment variable directs the compiler to use the single-processor matrix multiplication routines from libblas. The libblas GEMM routines will be invoked only when the MATMUL arguments are numeric matrices of floating-point values. If the F90_MATMUL_PARALLEL_BLAS environment variable is set in addition to the F90_MATMUL_BLAS variable, the multiprocessor matrix multiplication routines from libblas_mp are used. Note that libblas is an older library version and has been superceded by SCSL (the SGI Scientific Computing Software Library). In order to use the SCSL matrix multiplication routines, link the executable with the -lscs or -lscs_mp compiler options, depending on whether single or multiprocessor functionality is needed. If that is done, then setting F90_MATMUL_BLAS alone will be sufficient to invoke the SCSL routines, whether single or multiprocessor. Note that it is not necessary for the executable to explicitly call any SCSL routines. The library merely has to be linked in to be used. Using the SCSL version of this routine can provide substantial performance improvement without requiring any code change. RETURN VALUES The result type, type parameter, and shape are as follows. If the arguments are of numeric type, the type and kind type parameter of the result are determined by the types of the arguments. If the arguments are of type logical, the result is of type logical with the kind type parameter of the arguments. The shape of the result depends on the shapes of the arguments, as follows: * If matrix_a has shape (n, m) and matrix_b has shape (m, k), the result has shape (n, k). * If matrix_a has shape (m) and matrix_b has shape (m, k), the result has shape (k). * If matrix_a has shape (n, m) and matrix_b has shape (m), the result has shape (n). Element (i, j) of the result has the value SUM(MATRIX_A(i,:)*MATRIX_B(:,j)) if the arguments are of numeric type and has the value ANY(MATRIX_A(i,:).AND.MATRIX_B(:,j)) if the arguments are of logical type. Element (j) of the result has the value SUM(MATRIX_A(:)*MATRIX_B(:,j)) if the arguments are of numeric type and has the value ANY(MATRIX_A(:).AND.MATRIX_B(:,j)) if the arguments are of logical type. Element (i) of the result has the value SUM(MATRIX_A(i,:)*MATRIX_B(:)) if the arguments are of numeric type and has the value ANY(MATRIX_A(i,:).AND.MATRIX_B(:)) if the arguments are of logical type. EXAMPLES Let A and B be the following matrices: | 1 2 3 | | 2 3 4 | and | 1 2 | | 2 3 | | 2 4 | Let X and Y be vectors [1,2] and [1,2,3]. MATMUL(A,B) yields the matrix-matrix product AB, as follows: | 11 20 | | 16 29 | MATMUL(X,A) yields the vector-matrix product XA with the value [5,8,11]. MATMUL(A,Y) yields the matrix-vector product AY with the value [14,20].