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Merge branch 'gpu' into gpu

This commit is contained in:
Max Hoffer 2022-04-08 10:43:42 +02:00 committed by GitHub
commit 9b806aa071
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2 changed files with 36 additions and 10 deletions

View File

@ -304,26 +304,27 @@ AS_IF([test "$enable_gpu" = "openacc"], [
])
# cuBLAS offloading
AC_ARG_ENABLE(cublas, [AS_HELP_STRING([--enable-cublas],[Use cuBLAS-offloaded functions])], HAVE_CUBLAS_OFFLOAD=$enableval, HAVE_CUBLAS_OFFLOAD=no)
AC_ARG_WITH(cublas, [AS_HELP_STRING([--with-cublas],[Use cuBLAS-offloaded functions])], HAVE_CUBLAS_OFFLOAD=$withval, HAVE_CUBLAS_OFFLOAD=no)
AS_IF([test "$HAVE_CUBLAS_OFFLOAD" = "yes"], [
AC_DEFINE([HAVE_CUBLAS_OFFLOAD], [1], [If defined, activate cuBLAS-offloaded routines])
case $CC in
*gcc*)
CFLAGS="$CFLAGS -fopenacc"
CFLAGS="$CFLAGS -fopenmp"
LDFLAGS="-lcublas"
;;
*nvc*)
CFLAGS="$CFLAGS -acc=gpu"
CFLAGS="$CFLAGS -mp=gpu -cudalib=cublas"
;;
esac
case $FC in
*gfortran*)
FCFLAGS="$FCFLAGS -fopenacc"
FCFLAGS="$FCFLAGS -fopenmp"
;;
*nvfortran*)
FCFLAGS="$FCFLAGS -acc=gpu"
FCFLAGS="$FCFLAGS -mp=gpu -cudalib=cublas"
;;
esac
])

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@ -11,7 +11,7 @@
\[
J(\mathbf{r},\mathbf{R}) = J_{\text{eN}}(\mathbf{r},\mathbf{R}) + J_{\text{ee}}(\mathbf{r}) + J_{\text{eeN}}(\mathbf{r},\mathbf{R})
\]
In the following, we us the notations $r_{ij} = |\mathbf{r}_i - \mathbf{r}_j|$ and
$R_{i\alpha} = |\mathbf{r}_i - \mathbf{R}_\alpha|$.
@ -58,7 +58,6 @@
The terms $J_{\text{ee}}^\infty$ and $J_{\text{eN}}^\infty$ are shifts to ensure that
$J_{\text{ee}}$ and $J_{\text{eN}}$ have an asymptotic value of zero.
* Headers :noexport:
#+begin_src elisp :noexport :results none
(org-babel-lob-ingest "../tools/lib.org")
@ -2352,6 +2351,7 @@ integer(c_int32_t) function qmckl_compute_factor_ee_deriv_e_doc &
const double* ee_distance_rescaled,
const double* ee_distance_rescaled_deriv_e,
double* const factor_ee_deriv_e );
#+end_src
#+begin_src c :tangle (eval h_private_func) :comments org
@ -2367,6 +2367,7 @@ integer(c_int32_t) function qmckl_compute_factor_ee_deriv_e_doc &
double* const factor_ee_deriv_e );
#+end_src
#+begin_src c :comments org :tangle (eval c) :noweb yes
qmckl_exit_code qmckl_compute_factor_ee_deriv_e (
const qmckl_context context,
@ -6239,6 +6240,19 @@ qmckl_compute_tmp_c_cublas_offload (const qmckl_context context,
qmckl_exit_code info;
//Initialisation of cublas
cublasHandle_t handle;
if (cublasCreate(&handle) != CUBLAS_STATUS_SUCCESS)
{
fprintf(stdout, "CUBLAS initialization failed!\n");
exit(EXIT_FAILURE);
}
if (context == QMCKL_NULL_CONTEXT) {
return QMCKL_INVALID_CONTEXT;
}
@ -6270,6 +6284,7 @@ qmckl_compute_tmp_c_cublas_offload (const qmckl_context context,
const int64_t bf = elec_num*nucl_num*(cord_num+1);
const int64_t cf = bf;
#pragma omp target enter data map(to:een_rescaled_e[0:elec_num*elec_num*(cord_num+1)*walk_num],een_rescaled_n[0:M*N*walk_num],tmp_c[0:elec_num*nucl_num*(cord_num+1)*cord_num*walk_num])
#pragma omp target data use_device_ptr(een_rescaled_e,een_rescaled_n,tmp_c)
{
@ -6284,25 +6299,35 @@ qmckl_compute_tmp_c_cublas_offload (const qmckl_context context,
&(tmp_c[nw*cord_num]), \
LDC, cf, cord_num);
//Manage cublas ERROR
if(cublasError != CUBLAS_STATUS_SUCCESS){
printf("CUBLAS ERROR %d", cublasError);
info = QMCKL_FAILURE;
return info;
}else{
info = QMCKL_SUCCESS;
}
}
}
cudaDeviceSynchronize();
cublasDestroy(handle);
#pragma omp target exit data map(from:tmp_c[0:elec_num*nucl_num*(cord_num+1)*cord_num*walk_num])
return info;
}
#endif
#+end_src
#+end_src
#+begin_src c :comments org :tangle (eval h_private_func) :noweb yes :exports none