mpi

问题 I have an Python 3 interpreter embedded into an C++ MPI application. This application loads a script and passes it to the interpreter. When I execute the program on 1 process without the MPI launcher (simply calling ./myprogram), the script is executed properly and its "print" statements output to the terminal. When the script has an error, I print it on the C++ side using PyErr_Print(). However when I lauch the program through mpirun (even on a single process), I don't get any output from

问题 I have the following makelist file: BIN_SUFFIX = cpu OMP_FLAGS = -p OPT_FLAGS = -ofast compiler = mpifort compiler = mpif90 #used in gfortran MISC_FLAGS = -ffree-line-length-300 # CFLAGS += $(OPT_FLAGS) CFLAGS += $(OMP_FLAGS) CFLAGS += $(MISC_FLAGS) LFLAGS = $(CFLAGS) COMPILE = ${compiler} -c LINK = ${compiler} objects = Main_multiphase.o Main_singlephase.o Module.o Init_multiphase.o Init_singlephase.o Misc.o IO_multiphase.o IO_singlephase.o Kernel_multiphase.o Kernel_singlephase.o Mpi_misc.o

问题 Consider something like this: typedef struct TS { double a,b,c; } S; ... S x,y; ... MPI_Allreduce(&x, &y, 3, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD); Is the above code completely portable (without using MPI_Type_struct and all; all variables in the structure are assumed to be of the same type)? Also in the case when different hardware on various nodes is used? Thanks in advance, Jac 回答1: Hristo Iliev's completely right; the C standard allows arbitrary padding between the fields. So there's no

问题 I have struct like this: typedef struct { int x; double *y; int **z; } ind; how could I send pointer like *y and **z via MPI to other processes? I know that many answers said that never send pointers by MPI. But if I cannot change *y to an array because it is used in other part of the main program, what should I do to transfer them through processes via MPI? Especially for **z, how should I do ? Thanks in advance! 回答1: Just following the code from the second example here, I did the following.

问题 I have struct like this: typedef struct { int x; double *y; int **z; } ind; how could I send pointer like *y and **z via MPI to other processes? I know that many answers said that never send pointers by MPI. But if I cannot change *y to an array because it is used in other part of the main program, what should I do to transfer them through processes via MPI? Especially for **z, how should I do ? Thanks in advance! 回答1: Just following the code from the second example here, I did the following.

问题 I have some Fortran code I would like to paralelize with MPI. Appereantly, recomended way to use MPI (MPICH, in my case) with Fortran is through mpi_f08 module (mpi-forum entry on the matter), but I have trouble making it work, since corresponding mod file is simply not created (unlike mpi.mod , which works fine, but it's not up to date with Fortran standart). This discussion left me under the impression it's because gfortran can't build the F08 bindings. Below you can see my configuration,

问题 I am trying to write an MPI application to speedup a math algorithm with a computer cluster. But before this I am doing some kind of benchmarking. But the first results are not as much as expected. The test application has linear speedup with 4 cores but 5,6 cores are not speeding up the application. I am doing a test with Odroid N2 platform. It has 6 cores. Nproc says there are 6 cores available. Am I missing some kind of configuration? Or is my code not prepared well enought ( it is based

问题 I am trying to write an MPI application to speedup a math algorithm with a computer cluster. But before this I am doing some kind of benchmarking. But the first results are not as much as expected. The test application has linear speedup with 4 cores but 5,6 cores are not speeding up the application. I am doing a test with Odroid N2 platform. It has 6 cores. Nproc says there are 6 cores available. Am I missing some kind of configuration? Or is my code not prepared well enought ( it is based

问题 I am trying to write an MPI application to speedup a math algorithm with a computer cluster. But before this I am doing some kind of benchmarking. But the first results are not as much as expected. The test application has linear speedup with 4 cores but 5,6 cores are not speeding up the application. I am doing a test with Odroid N2 platform. It has 6 cores. Nproc says there are 6 cores available. Am I missing some kind of configuration? Or is my code not prepared well enought ( it is based

问题 I am trying to write an MPI application to speedup a math algorithm with a computer cluster. But before this I am doing some kind of benchmarking. But the first results are not as much as expected. The test application has linear speedup with 4 cores but 5,6 cores are not speeding up the application. I am doing a test with Odroid N2 platform. It has 6 cores. Nproc says there are 6 cores available. Am I missing some kind of configuration? Or is my code not prepared well enought ( it is based