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|
!
! Copyright (C) 2002-2008 Quantum ESPRESSO group
! This file is distributed under the terms of the
! GNU General Public License. See the file `License'
! in the root directory of the present distribution,
! or http://www.gnu.org/copyleft/gpl.txt .
!
!
! Wrapper for MPI implementations that have problems with large messages
!
! In some MPI implementation the communication subsystem
! crashes when message exceeds a given size, so we need
! to break down MPI communications in smaller pieces
!
#define __MSGSIZ_MAX 2000000
#define __BCAST_MSGSIZ_MAX_GPU huge(n)
! Some implementation of MPI (OpenMPI) if it is not well tuned for the given
! network hardware (InfiniBand) tend to lose performance or get stuck inside
! collective routines if processors are not well synchronized
! A barrier fixes the problem
!
#define __USE_BARRIER
!=----------------------------------------------------------------------------=!
!
! These routines allocate buffer spaces used in reduce_base_real_gpu.
! These should be in data_buffer.f90 but need to be here becouse size is
! depends on the __MSGSIZ_MAX definition
#if defined (__CUDA)
SUBROUTINE allocate_buffers_gpu
USE data_buffer
IMPLICIT NONE
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
IF (.NOT. ALLOCATED(mp_buff_r_d)) ALLOCATE(mp_buff_r_d(maxb))
IF (.NOT. ALLOCATED(mp_buff_i_d)) ALLOCATE(mp_buff_i_d(maxb))
!
END SUBROUTINE allocate_buffers_gpu
SUBROUTINE deallocate_buffers_gpu
USE data_buffer
IMPLICIT NONE
!
DEALLOCATE(mp_buff_r_d, mp_buff_i_d)
!
END SUBROUTINE deallocate_buffers_gpu
!=----------------------------------------------------------------------------=!
!
SUBROUTINE bcast_real_gpu( array_d, n, root, gid )
USE util_param, ONLY: DP
USE parallel_include
USE cudafor
IMPLICIT NONE
INTEGER, INTENT(IN) :: n, root, gid
REAL(DP), DEVICE :: array_d( n )
#if defined __MPI
INTEGER :: msgsiz_max = __BCAST_MSGSIZ_MAX_GPU
INTEGER :: nblk, blksiz, iblk, istart, ierr
#if defined __TRACE
write(*,*) 'BCAST_REAL_GPU IN'
#endif
IF( n <= 0 ) GO TO 1
#if defined __USE_BARRIER
CALL mp_synchronize( gid )
#endif
IF( n <= msgsiz_max ) THEN
CALL MPI_BCAST( array_d, n, MPI_DOUBLE_PRECISION, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_real ', ' error in mpi_bcast 1 ', ierr )
ELSE
nblk = n / msgsiz_max
blksiz = msgsiz_max
DO iblk = 1, nblk
istart = (iblk-1)*msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_DOUBLE_PRECISION, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_real ', ' error in mpi_bcast 2 ', ierr )
END DO
blksiz = MOD( n, msgsiz_max )
IF( blksiz > 0 ) THEN
istart = nblk * msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_DOUBLE_PRECISION, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_real ', ' error in mpi_bcast 3 ', ierr )
END IF
ENDIF
GO TO 2 ! Skip sync, already done by MPI call
1 CONTINUE
ierr = cudaDeviceSynchronize()
2 CONTINUE
#if defined __TRACE
write(*,*) 'BCAST_REAL_GPU OUT'
#endif
#endif
RETURN
END SUBROUTINE bcast_real_gpu
SUBROUTINE bcast_integer_gpu( array_d, n, root, gid )
USE parallel_include
USE cudafor
IMPLICIT NONE
INTEGER, INTENT(IN) :: n, root, gid
INTEGER, DEVICE :: array_d( n )
#if defined __MPI
INTEGER :: msgsiz_max = __MSGSIZ_MAX
INTEGER :: nblk, blksiz, iblk, istart, ierr
#if defined __TRACE
write(*,*) 'BCAST_INTEGER_GPU IN'
#endif
IF( n <= 0 ) GO TO 1
#if defined __USE_BARRIER
CALL mp_synchronize( gid )
#endif
IF( n <= msgsiz_max ) THEN
CALL MPI_BCAST( array_d, n, MPI_INTEGER, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_integer_gpu ', ' error in mpi_bcast 1 ', ierr )
ELSE
nblk = n / msgsiz_max
blksiz = msgsiz_max
DO iblk = 1, nblk
istart = (iblk-1)*msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_INTEGER, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_integer_gpu ', ' error in mpi_bcast 2 ', ierr )
END DO
blksiz = MOD( n, msgsiz_max )
IF( blksiz > 0 ) THEN
istart = nblk * msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_INTEGER, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_integer_gpu ', ' error in mpi_bcast 3 ', ierr )
END IF
END IF
GO TO 2 ! Skip sync, already done by MPI call
1 CONTINUE
ierr = cudaDeviceSynchronize()
2 CONTINUE
#if defined __TRACE
write(*,*) 'BCAST_INTEGER_GPU OUT'
#endif
#endif
RETURN
END SUBROUTINE bcast_integer_gpu
SUBROUTINE bcast_logical_gpu( array_d, n, root, gid )
USE parallel_include
USE cudafor
IMPLICIT NONE
INTEGER, INTENT(IN) :: n, root, gid
LOGICAL, DEVICE :: array_d( n )
#if defined __MPI
INTEGER :: msgsiz_max = __MSGSIZ_MAX
INTEGER :: nblk, blksiz, iblk, istart, ierr
#if defined __TRACE
write(*,*) 'BCAST_LOGICAL_GPU IN'
#endif
IF( n <= 0 ) GO TO 1
#if defined __USE_BARRIER
CALL mp_synchronize( gid )
#endif
IF( n <= msgsiz_max ) THEN
CALL MPI_BCAST( array_d, n, MPI_LOGICAL, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_logical_gpu ', ' error in mpi_bcast 1 ', ierr )
ELSE
nblk = n / msgsiz_max
blksiz = msgsiz_max
DO iblk = 1, nblk
istart = (iblk-1)*msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_LOGICAL, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_logical_gpu ', ' error in mpi_bcast 2 ', ierr )
END DO
blksiz = MOD( n, msgsiz_max )
IF( blksiz > 0 ) THEN
istart = nblk * msgsiz_max + 1
CALL MPI_BCAST( array_d( istart ), blksiz, MPI_LOGICAL, root, gid, ierr )
IF( ierr /= 0 ) CALL errore( ' bcast_logical_gpu ', ' error in mpi_bcast 3 ', ierr )
END IF
END IF
GO TO 2 ! Skip sync, already done by MPI call
1 CONTINUE
ierr = cudaDeviceSynchronize()
2 CONTINUE
#if defined __TRACE
write(*,*) 'BCAST_LOGICAL_GPU OUT'
#endif
#endif
RETURN
END SUBROUTINE bcast_logical_gpu
!
! ... "reduce"-like subroutines
!
#if defined (__USE_INPLACE_MPI)
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_real_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY: DP
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim ! size of the array
REAL(DP), DEVICE :: ps_d(dim) ! array whose elements have to be reduced
INTEGER, INTENT(IN) :: comm ! communicator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info
!
#if defined __TRACE
write(*,*) 'reduce_base_real_gpu IN'
#endif
!
IF ( dim <= 0 ) GO TO 1 ! go to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( MPI_IN_PLACE, ps_d, dim, MPI_DOUBLE_PRECISION, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( MPI_IN_PLACE, ps_d, dim, MPI_DOUBLE_PRECISION, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_allreduce 1', info )
END IF
!
GO TO 2 ! Skip sync, already done by MPI call
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_real_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_real_gpu
!
#else
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_real_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : mp_buff_r_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim ! size of the array
REAL(DP), DEVICE :: ps_d(dim) ! array whose elements have to be reduced
INTEGER, INTENT(IN) :: comm ! communicator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'reduce_base_real_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), mp_buff_r_d, maxb, MPI_DOUBLE_PRECISION, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), mp_buff_r_d, maxb, MPI_DOUBLE_PRECISION, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), mp_buff_r_d(1), maxb, cudaMemcpyDeviceToDevice )
!ps((1+(n-1)*maxb):(n*maxb)) = mp_buff_r(1:maxb)
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), mp_buff_r_d(1), maxb, cudaMemcpyDeviceToDevice )
!ps((1+(n-1)*maxb):(n*maxb)) = mp_buff_r(1:maxb)
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in cudaMemcpy ', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), mp_buff_r_d, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), mp_buff_r_d, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), mp_buff_r_d(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = mp_buff_r(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), mp_buff_r_d(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = mp_buff_r(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'reduce_base_real_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
!! DO NOT skip sync, last step may not be an MPI Call !!
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_real_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_real_gpu
!
#endif
!
!
#if defined (__USE_INPLACE_MPI)
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_integer_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY: DP
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim ! size of the array
INTEGER, DEVICE :: ps_d(dim) ! array whose elements have to be reduced
INTEGER, INTENT(IN) :: comm ! communicator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_gpu IN'
#endif
!
IF ( dim <= 0 ) GO TO 1 ! go to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( MPI_IN_PLACE, ps_d, dim, MPI_INTEGER, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( MPI_IN_PLACE, ps_d, dim, MPI_INTEGER, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_allreduce 1', info )
END IF
!
GO TO 2 ! Skip sync, already done by MPI call
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_integer_gpu
!
#else
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_integer_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : mp_buff_i_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim ! size of the array
INTEGER, DEVICE :: ps_d(dim) ! array whose elements have to be reduced
INTEGER, INTENT(IN) :: comm ! communicator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), mp_buff_i_d, maxb, MPI_INTEGER, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), mp_buff_i_d, maxb, MPI_INTEGER, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), mp_buff_i_d(1), maxb, cudaMemcpyDeviceToDevice )
!ps((1+(n-1)*maxb):(n*maxb)) = mp_buff_r(1:maxb)
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), mp_buff_i_d(1), maxb, cudaMemcpyDeviceToDevice )
!ps((1+(n-1)*maxb):(n*maxb)) = mp_buff_r(1:maxb)
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), mp_buff_i_d, (dim-nbuf*maxb), MPI_INTEGER, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), mp_buff_i_d, (dim-nbuf*maxb), MPI_INTEGER, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), mp_buff_i_d(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = mp_buff_r(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), mp_buff_i_d(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = mp_buff_r(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'reduce_base_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
!! DO NOT skip sync, last step may not be an MPI Call !!
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_integer_gpu
!
#endif
!
! ... "reduce"-like subroutines
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_real_to_gpu( dim, ps_d, psout_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed variable ps(dim) over the processors,
! ... and store the results in variable psout.
! ... This version uses a fixed-length buffer of appropriate (?) length
!
USE util_param, ONLY : DP
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
REAL(DP), DEVICE, INTENT(IN) :: ps_d(dim)
REAL(DP), DEVICE :: psout_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'reduce_base_real_to_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim > 0 .AND. nproc <= 1 ) THEN
psout_d = ps_d
END IF
IF( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the sync and later to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), psout_d(1+(n-1)*maxb), maxb, MPI_DOUBLE_PRECISION, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), psout_d(1+(n-1)*maxb), maxb, MPI_DOUBLE_PRECISION, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_allreduce 1', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), psout_d(1+nbuf*maxb), (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), psout_d(1+nbuf*maxb), (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_real_to_gpu', 'error in mpi_allreduce 2', info )
END IF
!
END IF
!
GO TO 2
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_real_to_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_real_to_gpu
!
!
!
!----------------------------------------------------------------------------
SUBROUTINE reduce_base_integer_to_gpu( dim, ps_d, psout_d, comm, root )
!----------------------------------------------------------------------------
!
! ... sums a distributed integer variable ps(dim) over the processors, and
! ... saves the result on the output variable psout.
! ... This version uses a fixed-length buffer of appropriate (?) length
!
USE util_param, ONLY : DP
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
INTEGER, DEVICE, INTENT(IN) :: ps_d(dim)
INTEGER, DEVICE :: psout_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_to_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim > 0 .AND. nproc <= 1 ) THEN
psout_d = ps_d
END IF
IF( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the sync and later to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), psout_d( 1+(n-1)*maxb ), maxb, MPI_INTEGER, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), psout_d( 1+(n-1)*maxb ), maxb, MPI_INTEGER, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_allreduce 1', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), psout_d(1+nbuf*maxb), (dim-nbuf*maxb), MPI_INTEGER, MPI_SUM, root, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), psout_d(1+nbuf*maxb), (dim-nbuf*maxb), MPI_INTEGER, MPI_SUM, comm, info )
IF( info /= 0 ) CALL errore( 'reduce_base_integer_to_gpu', 'error in mpi_allreduce 2', info )
END IF
!
END IF
!
GO TO 2 ! Skip sync, already done by MPI
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'reduce_base_integer_to_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE reduce_base_integer_to_gpu
!
!
! Parallel MIN and MAX
!
!----------------------------------------------------------------------------
SUBROUTINE parallel_min_integer_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... compute the minimum of a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : buff => mp_buff_i_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
INTEGER, DEVICE :: ps_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'parallel_min_integer_gpu IN'
#endif
!
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the sync and later to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_INTEGER, MPI_MIN, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_INTEGER, MPI_MIN, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d(1+(n-1)*maxb), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_INTEGER, MPI_MIN, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_INTEGER, MPI_MIN, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_min_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
GO TO 2 ! Skip sync, already done by MPI
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'parallel_min_integer_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE parallel_min_integer_gpu
!
!----------------------------------------------------------------------------
SUBROUTINE parallel_max_integer_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... compute the maximum of a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : buff => mp_buff_i_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
INTEGER, DEVICE :: ps_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'parallel_max_integer_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the sync and later to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_INTEGER, MPI_MAX, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_INTEGER, MPI_MAX, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d(1+(n-1)*maxb), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_INTEGER, MPI_MAX, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_INTEGER, MPI_MAX, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
!! DO NOT skip sync, last step may not be an MPI Call !!
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'parallel_max_integer_gpu OUT'
#endif
#endif
!
RETURN
!
END SUBROUTINE parallel_max_integer_gpu
!----------------------------------------------------------------------------
SUBROUTINE parallel_min_real_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... compute the minimum of a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : buff => mp_buff_r_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
REAL(DP), DEVICE :: ps_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'parallel_min_real_gpu IN'
#endif
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1 ! go to the sync and later to the end of the subroutine
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_DOUBLE_PRECISION, MPI_MIN, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_DOUBLE_PRECISION, MPI_MIN, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d(1+(n-1)*maxb), buff(1), maxb, cudaMemcpyDeviceToDevice )
ELSE IF( root == myid ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), buff(1), maxb, cudaMemcpyDeviceToDevice )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_MIN, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_MIN, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_min_real_gpu', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_integer_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
!! DO NOT skip sync, last step may not be an MPI Call !!
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'parallel_min_real_gpu OUT'
#endif
#endif
!
RETURN
!
END SUBROUTINE parallel_min_real_gpu
!
!----------------------------------------------------------------------------
SUBROUTINE parallel_max_real_gpu( dim, ps_d, comm, root )
!----------------------------------------------------------------------------
!
! ... compute the maximum of a distributed variable ps(dim) over the processors.
! ... This version uses a fixed-length buffer of appropriate (?) dim
!
USE util_param, ONLY : DP
USE data_buffer, ONLY : buff => mp_buff_r_d
USE parallel_include
USE cudafor
!
IMPLICIT NONE
!
INTEGER, INTENT(IN) :: dim
REAL(DP), DEVICE :: ps_d(dim)
INTEGER, INTENT(IN) :: comm ! communecator
INTEGER, INTENT(IN) :: root ! if root < 0 perform a reduction to all procs
! if root >= 0 perform a reduce only to root proc.
!
#if defined (__MPI)
!
INTEGER :: info, n, nbuf, nproc, myid
INTEGER, PARAMETER :: maxb = __MSGSIZ_MAX
!
#if defined __TRACE
write(*,*) 'parallel_max_real_gpu IN'
#endif
!
CALL mpi_comm_size( comm, nproc, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_comm_size', info )
CALL mpi_comm_rank( comm, myid, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_comm_rank', info )
!
IF ( dim <= 0 .OR. nproc <= 1 ) GO TO 1
!
! ... synchronize processes
!
#if defined __USE_BARRIER
CALL mp_synchronize( comm )
#endif
!
nbuf = dim / maxb
!
DO n = 1, nbuf
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_DOUBLE_PRECISION, MPI_max, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_reduce 1', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+(n-1)*maxb), buff, maxb, MPI_DOUBLE_PRECISION, MPI_max, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_allreduce 1', info )
END IF
!
IF( root < 0 ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d(1+(n-1)*maxb), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
!ps_d((1+(n-1)*maxb):(n*maxb)) = buff(1:maxb)
info = cudaMemcpy( ps_d((1+(n-1)*maxb)), buff(1), maxb, cudaMemcpyDeviceToDevice )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in cudaMemcpy ', info )
END IF
!
END DO
!
! ... possible remaining elements < maxb
!
IF ( ( dim - nbuf * maxb ) > 0 ) THEN
!
IF( root >= 0 ) THEN
CALL MPI_REDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_max, root, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_reduce 2', info )
ELSE
CALL MPI_ALLREDUCE( ps_d(1+nbuf*maxb), buff, (dim-nbuf*maxb), MPI_DOUBLE_PRECISION, MPI_max, comm, info )
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in mpi_allreduce 2', info )
END IF
!
IF( root < 0 ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in cudaMemcpy ', info )
ELSE IF( root == myid ) THEN
info = cudaMemcpy( ps_d((1+nbuf*maxb)), buff(1), dim-nbuf*maxb, cudaMemcpyDeviceToDevice )
!ps((1+nbuf*maxb):dim) = buff(1:(dim-nbuf*maxb))
IF( info /= 0 ) CALL errore( 'parallel_max_real_gpu', 'error in cudaMemcpy ', info )
END IF
!
END IF
!
!! DO NOT skip sync, last step may not be an MPI Call !!
1 CONTINUE
info = cudaDeviceSynchronize()
2 CONTINUE
!
#if defined __TRACE
write(*,*) 'parallel_max_real_gpu OUT'
#endif
!
#endif
!
RETURN
!
END SUBROUTINE parallel_max_real_gpu
#else
MODULE isntused
END module
#endif
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