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Fixed DGEMM
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@ -23,7 +23,8 @@ int main() {
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** ~qmckl_dgemm~
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Matrix multiply l$C_{ij} = \beta C_{ij} + \alpha \sum_{k} A_{ik} \cdot B_{kj}$ using Fortran ~matmul~ function.
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Matrix multiply: $C_{ij} = \beta C_{ij} + \alpha \sum_{k} A_{ik} \cdot B_{kj}$ using Fortran ~matmul~ function.
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TODO: Add description about the external library dependence.
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#+NAME: qmckl_dgemm_args
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@ -41,7 +42,7 @@ int main() {
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| double | beta | in | Array containing the $n \times m$ matrix $B$ |
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| double | C[][ldc] | out | Array containing the $n \times m$ matrix $B$ |
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| int64_t | ldc | in | Leading dimension of array ~B~ |
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*** Requirements
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- ~context~ is not ~QMCKL_NULL_CONTEXT~
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@ -75,7 +76,7 @@ int main() {
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const int64_t ldb,
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const double beta,
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double* const C,
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const int64_t ldc );
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const int64_t ldc );
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#+END_src
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@ -161,11 +162,23 @@ integer function qmckl_dgemm_f(context, TransA, TransB, m, n, k, alpha, A, LDA,
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endif
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if (TransA) then
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C = matmul(AT,B)
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if (alpha == 1.d0 && beta == 0.d0) then
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C = matmul(AT,B)
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else
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C = beta*C + alpha*matmul(AT,B)
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endif
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else if (TransB) then
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C = matmul(A,BT)
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if (alpha == 1.d0 && beta == 0.d0) then
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C = matmul(A,BT)
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else
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C = beta*C + alpha*matmul(A,BT)
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endif
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else
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C = matmul(A,B)
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if (alpha == 1.d0 && beta == 0.d0) then
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C = matmul(A,B)
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else
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C = beta*C + alpha*matmul(A,B)
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endif
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endif
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end function qmckl_dgemm_f
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#+end_src
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@ -251,7 +264,7 @@ integer(qmckl_exit_code) function test_qmckl_dgemm(context) bind(C)
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double precision :: x, alpha, beta
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TransA = .False.
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TransB = .False.
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TransB = .False.
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m = 1_8
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k = 4_8
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n = 6_8
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@ -302,7 +315,7 @@ integer(qmckl_exit_code) function test_qmckl_dgemm(context) bind(C)
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deallocate(A,B,C,D)
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end function test_qmckl_dgemm
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#+end_src
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#+begin_src c :comments link :tangle (eval c_test)
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qmckl_exit_code test_qmckl_dgemm(qmckl_context context);
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assert(QMCKL_SUCCESS == test_qmckl_dgemm(context));
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