Cblas_dgemm manual

Multiplying Matrices Using dgemm. Intel MKL provides several routines for multiplying matrices. The most widely used is the. dgemm. routine, which calculates the product of double precision matrices: The. dgemm. routine can perform several calculations. For example, you can perform this operation with the transpose or conjugate transpose www.doorway.rug: manual.  · C = alpha*A*B + beta*C. On repeated tests using random matrices and all possible combination of parameters the program gives correct answer ONLY if abs (beta) = 2^n (1,2,4,). Any value works for alpha. Any other positive/negative, odd/even value for beta gives correct answer b/w % of the www.doorway.rus: 1. BLAS: dgemm, DGEMM, dgemm_, and DGEMM_ See Example "Calling a Complex BLAS Level 1 Function from C++" on how to call BLAS routines from C. See also the Intel(R) MKL Reference Manual for a description of the C interface to LAPACK functions.

Multiplying Matrices Using dgemm. Intel MKL provides several routines for multiplying matrices. The most widely used is the. dgemm. routine, which calculates the product of double precision matrices: The. dgemm. routine can perform several calculations. For example, you can perform this operation with the transpose or conjugate transpose of. Gsl manual gsl_blas_dgemm Level 3. These functions compute the matrix-matrix product and sum C = \alpha op (A) op (B) + \beta C where op (A) = A, A^T, A^H for TransA = CblasNoTrans, CblasTrans, CblasConjTrans and similarly for the parameter TransB. dgemm (3p) Name. dgemm - matrix operations C:= alpha*op(A)*op(B) + beta*C. Synopsis SUBROUTINE DGEMM(TRANSA, TRANSB, M, N, K, ALPHA, A, LDA, B, LDB, BETA, C, LDC.

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