mpi

Most appropriate MPI_Datatype for “block decomposition”?

此生再无相见时 提交于 2020-01-22 03:00:29
问题 With the help from Jonathan Dursi and osgx, I've now done the "row decomposition" among the processes: row http://img535.imageshack.us/img535/9118/ghostcells.jpg Now, I'd like to try the "block decomposition" approach (pictured below): block http://img836.imageshack.us/img836/9682/ghostcellsblock.jpg How should one go about it? This time, the MPI_Datatype will be necessary, right? Which datatype would be most appropriate/easy to use? Or can it plausibly be done without a datatype? 回答1: You

MPI not running in parallel in a FORTRAN code

这一生的挚爱 提交于 2020-01-21 09:52:13
问题 I am trying to install an OpenMPI on my Ubuntu (14.04) machine, and I thought that I had succeeded, because I can run codes with mpirun , but recently I have noticed that it's not truly running in parallel. I installed openmpi with the following options: ./configure CXX=g++ CC=gcc F77=gfortran \ F90=gfortran \ FC=gfortran \ --enable-mpi-f77 \ --enable-mpi-f90 \ --prefix=/opt/openmpi-1.6.5 make all sudo make install As I said, I have run a code ( not written by myself ) and it seemed to work

Running MPI on two hosts

我只是一个虾纸丫 提交于 2020-01-21 02:29:08
问题 I've looked through many examples and I'm still confused. I've compiled a simple latency check program from here, and it runs perfectly on one host, but when I try to run it on two hosts it hangs. However, running something like hostname runs fine: [hamiltont@4 latency]$ mpirun --report-bindings --hostfile hostfile --rankfile rankfile -np 2 hostname [4:16622] [[5908,0],0] odls:default:fork binding child [[5908,1],0] to slot_list 0 4 [5:12661] [[5908,0],1] odls:default:fork binding child [

「超算」|解决HPL配置时 libfabric.so.1不存在的问题

烂漫一生 提交于 2020-01-19 10:14:56
只针对Intel MPI 问题出现的原因是没有source .sh 文件,需要先将MPI文件夹下的 mpivars.sh source一下,但是需要注意的是这种解决方法在退出当前SSH将失效,每次使用时都需要重新source。具体原因我也不太清楚Orz,可能太菜了。指令如下: source /你安装MPI的文件夹下含有mpivars.sh的地址/mpivars.sh 参考: problem with intel mpi 2019 来源: CSDN 作者: p11188536 链接: https://blog.csdn.net/weixin_41468462/article/details/104035077

MPI's Scatterv operation

最后都变了- 提交于 2020-01-17 03:08:27
问题 I'm not sure that I am correctly understanding what MPI_Scatterv is supposed to do. I have 79 items to scatter amounts a variable amount of nodes. However, when I use the MPI_Scatterv command I get ridiculous numbers (as if the array elements of my receiving buffer are uninitialized). Here is the relevant code snippet: MPI_Init(&argc, &argv); int id, procs; MPI_Comm_rank(MPI_COMM_WORLD, &id); MPI_Comm_size(MPI_COMM_WORLD, &procs); //Assign each file a number and figure out how many files

Can anyone help me understand how MPI Communicator, Groups partitioning works? [closed]

浪子不回头ぞ 提交于 2020-01-16 20:19:33
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 4 years ago . Can anyone help me get my head around the MPI Groups, Inter and Intra communicators. I have already gone through the MPI documentation(http://www.mpi-forum.org/docs/mpi-2.2/mpi22-report.pdf ) and I couldnt make good sense of these concepts. I would especially appreciate any code

MPI_Barrier() does not work on a small cluster

蓝咒 提交于 2020-01-16 19:04:51
问题 I want to use MPI_Barrier() in my programme, but there are some fatal errors. This is my code: 1 #include <stdio.h> 2 #include "mpi.h" 3 4 int main(int argc, char* argv[]){ 5 int rank, size; 6 7 MPI_Init(&argc, &argv); 8 MPI_Comm_rank(MPI_COMM_WORLD, &rank); 9 MPI_Comm_size(MPI_COMM_WORLD, &size); 10 printf("Hello, world, I am %d of %d. \n", rank, size); 11 MPI_Barrier(MPI_COMM_WORLD); 12 MPI_Finalize(); 13 14 return 0; 15 } And this is the output: Hello, world, I am 0 of 2. Hello, world, I

MPI_Barrier() does not work on a small cluster

谁说胖子不能爱 提交于 2020-01-16 19:04:00
问题 I want to use MPI_Barrier() in my programme, but there are some fatal errors. This is my code: 1 #include <stdio.h> 2 #include "mpi.h" 3 4 int main(int argc, char* argv[]){ 5 int rank, size; 6 7 MPI_Init(&argc, &argv); 8 MPI_Comm_rank(MPI_COMM_WORLD, &rank); 9 MPI_Comm_size(MPI_COMM_WORLD, &size); 10 printf("Hello, world, I am %d of %d. \n", rank, size); 11 MPI_Barrier(MPI_COMM_WORLD); 12 MPI_Finalize(); 13 14 return 0; 15 } And this is the output: Hello, world, I am 0 of 2. Hello, world, I

MPI_Scatter - not working as expected

自闭症网瘾萝莉.ら 提交于 2020-01-16 06:58:12
问题 I am writing my first program using MPI and I am having hard time trying to properly send data to other processes using MPI_Scatter, modify them and receive the values using MPI_Gather. The code is as follows: int** matrix; int m = 2, n = 2; int status; // could have been int matrix[2][2]; matrix = malloc(m*sizeof(int*)); for(i = 0; i < m; i++) { matrix[i] = malloc(n*sizeof(int)); } matrix[0][0] = 1; matrix[0][1] = 2; matrix[1][0] = 2; matrix[1][1] = 3; MPI_Init( &argc, &argv ); MPI_Comm_rank

mpirun: Unrecognized argument mca

房东的猫 提交于 2020-01-16 00:55:41
问题 I have a c++ solver which I need to run in parallel using the following command: nohup mpirun -np 16 ./my_exec > log.txt & This command will run my_exec independently on the 16 processors available on my node. This used to work perfectly. Last week, the HPC department performed an OS upgrade and now, when launching the same command, I get two warning messages (for each processor). The first one is: -------------------------------------------------------------------------- 2 WARNING: It