Developers and mantainers
Claudio Bonati (C++ framework, CUDA kernels) (bonati@df.unipi.it)
Guido Cossu (CUDA kernels) (cossu@post.kek.jp)
History:
Version 0.1 9/2011 CUDA kernels
Performs Rational Hybrid Monte Carlo simulation of QCD with N_f flavors of staggered (non improved) fermions. Except some minor functions, all the calculations are performed using NVIDIA gpus, implementing a CUDA version of all the relevant kernels (Dirac operator, Dirac operator inversion, gauge and momenta update).
See the following reference for more details:
'QCD simulations with staggered fermions on GPUs'
Arxiv Paper 1106.5673
The typical compilation follows the pattern:
./configure && make
this will compile a code to run in a single core CPU.
In order to enable CUDA routines type the following command (also look at the
various options in configure --help
)
./configure --enable-cuda=ARCH
where ARCH should be substituted by one of the following strings "sm_XX" in order to choose the target NVIDIA architecture
please refer to the original NVIDIA documentation for more details on which cards support the several architectures.
Some newer compilers, like GNU gcc 4.5
, are incompatible with the NVIDIA nvcc
compiler (CUDA 4.0). In order to solve this problem you should install a different
version of the compiler, e.g. gcc 4.4
, in the directory PATH_TO_COMPILER
and then
configure with the following command
./configure --enable-cuda=ARCH --with-cuda_comp=PATH_TO_COMPILER CXX=PATH_TO_COMPILER/g++ CC=PATH_TO_COMPILER/gcc
Also, if the mandatory library MPFR (for Multiple Precision in rational approximations) is
installed in a non standard location (not /usr/lib
) use the flag --with-mpfr=PATH
where PATH
is the location
of the library in your system
autoreconf
fail to build a working configure
file. Usually the one shipped is working.If you find any bug please report any to the developers on GitHub issues: