Hi Konrad,
My experience with QE-GPU is that it works only with double precision
supported GPUs but not single precision.
I am using TitanZ and Intel compiler, it works fast. Here is my ./configure
./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort --enable-parallel
--disable-openmp --without-scalapack --enable-cuda --with-gpu-arch=sm_35
--with-cuda-dir=/usr/local/cuda-6.5 --with-magma --with-phigemm
--with-pinned-mem LDFLAGS="-L/usr/lib64/ -lstdc++"
I doubt if GTX 1060 supports DP? If it is SP than it does not work for
QE-GPU or it may be very slow.
Rolly
On 12/29/2016 03:56 PM, Konrad Gruszka wrote:
Deer community,
Recently I'm trying to compile and run QE-GPU version on my new Cuda
capable card. Unfortunately after many attempts the result is poor.
I have Nvidia GTX 1060 (with Pascal architecture, 1280 cuda units).
I've managed to compile GPU PWSCF with sm_60 (pascal) support but when
trying to run any calculation I get:
Program received signal SIGFPE: Floating-point exception - erroneous
arithmetic operation.Backtrace for this error: #0 0x7F84D59C4E08
#1 0x7F84D59C3F90
#2 0x7F84D4CB74AF
#3 0x63B2C5 in newd_cuda_
#4 0x639B9F in newq_compute_gpu_ at newq_compute_gpu.f90:122
#5 0x597B1F in __dfunct_MOD_newd at newd.f90:262
#6 0x4E2B87 in init_run_ at init_run.f90:101
#7 0x4081DB in run_pwscf_ at run_pwscf.f90:78
#8 0x408049 in pwscf at pwscf.f90:30 #9 0x7F84D4CA282F
The configure options were:
./configure --enable-parallel --enable-cuda --enable-openmp
--with-cuda-dir=/usr/local/cuda-8.0/ --with-internal-blas
--with-internal-lapack --without-magma --with-phigemm
FFT_LIBS=/mnt/fast/fftw-3.3.4/.libs/libfftw3.a --with-gpu-arch=pascal
For now I'm trapped here, not knowing what to do. Is it possible to
run QE-GPU not only on specialized computing devices like e.g. K20 at
all? How to manage this?
Konrad Gruszka
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