openmpi

问题 I am a newbie who tries to compile a program via mpicc replacing icc with gcc . I have already discovered, that I need to use the following command to compile $ OMPI_CC=gcc make However, I get the following error message (which is well-known) /opt/intel/fce/9.1.036/lib/libimf.so: warning: warning: feupdateenv is not implemented and will always fail I try to do $ make clean && OMPI_CC=gcc OMPI_LDFLAGS=-libm make Then I see /usr/bin/ld: cannot find -libm collect2: ld returned 1 exit status

问题 I'm currently writing a simulation using boost::mpi on top of openMPI and everything works great. However once I scale up the system and therefore have to send larger std::vectors I get errors. I've reduced the issue to the following problem: #include <boost/mpi.hpp> #include <boost/mpi/environment.hpp> #include <boost/mpi/communicator.hpp> #include <boost/serialization/vector.hpp> #include <iostream> #include <vector> namespace mpi = boost::mpi; int main() { mpi::environment env; mpi:

问题 I have a naive question: I compiled a version of Openmpi 1.4.4. with Valgrind : ./configure --prefix=/opt/openmpi-1.4.4/ --enable-debug --enable-memchecker --with-valgrind=/usr.... I want to do memory check. Usually for debuggin (and running) I compile it with OpenMPI in Ubuntu distributive with CC = mpic++ CCFLAGS = -g The question is, can I compile my code just with Ubuntu distro MPI 1.4.3 and then run with this modified (valgrind) mpirun version: mpirun -np 8 valgrind .... ? 回答1: You can

问题 I'm new to python and would like to install lightgbm on my macbook. I did a pip install lightgbm and it said installation successful. However when I try to import that into my notebook I get the following error message: ../anaconda/envs/python3/lib/python3.6/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error) 342 343 if handle is None: --> 344 self._handle = _dlopen(self._name, mode) 345 else: 346 self._handle = handle OSError: dlopen(../anaconda/envs/python3

问题 I'm working on a code that work with Epiphany processor (http://www.parallella.org/) and to run Epiphany codes i need sudo privileges on host side program. There is no escape from sudo! Now i need to run this code across several nodes, in order to do that i'm using mpi but mpi wont function properly with sudo #sudo mpirun -n 12 --hostfile hosts -x LD_LIBRARY_PATH=${ELIBS} -x EPIPHANY_HDF=${EHDF} ./hello-mpi.elf Even a simple code that does node communication does not work. The ranks comes 0

问题 How must eclipse PTP be configured to run MPI applications using OpenMPI on the local machine? Using "Add Resource Manager", I can choose OpenMPI and switch on to Localhost in "Connection name". But still, I'm asked for some user and password name. Is this the right way? 回答1: Do this sudo apt-get install openssh-server openssh-client Then follow this instructions on the PTP documentation. 来源： https://stackoverflow.com/questions/12051266/eclipse-ptp-running-parallel-mpi-applications-on-the

问题 In MPI, is it possible to add new nodes after it is started? For example, I have 2 computers already running a parallel MPI application. I start another instance of this application on a third computer and add it to the existing communicator. All computers are in a local network. 回答1: No, it's not currently possible to add new nodes to a running MPI application. MPI is designed to know the total number of nodes when the program starts. Work is being done (on MPI-3, for example) on handling

问题 I have a number crunching C/C++ application. It is basically a main loop for different data sets. We got access to a 100 node cluster with openmp and mpi available. I would like to speedup the application but I am an absolut newbie for both mpi and openmp. I just wonder what is the easiest one to learn and to debug even if the performance is not the best. I also wonder what is the most adequate for my main loop application. Thanks 回答1: If your program is just one big loop using OpenMP can be

问题 I have a number crunching C/C++ application. It is basically a main loop for different data sets. We got access to a 100 node cluster with openmp and mpi available. I would like to speedup the application but I am an absolut newbie for both mpi and openmp. I just wonder what is the easiest one to learn and to debug even if the performance is not the best. I also wonder what is the most adequate for my main loop application. Thanks 回答1: If your program is just one big loop using OpenMP can be

问题 I know,there are some basic function in openMPI implementation for mapping the different processes to different cores of different sockets(if the system have more than one sockets). --bind-to-socket (first come first serve) --bysocket (round-robin,based on load balencing) --npersocket N (assign N processes to each socket) --npersocket N --bysocket (assign N process to each socket , but in a round-robin basis) --bind-to-core (binds one process to each core in a sequential fashion) --bind-to