openmpi

Openmpi mpmd get communication size

心已入冬 提交于 2019-11-28 01:36:17
I have two openmpi programs which I start like this mpirun -n 4 ./prog1 : -n 2 ./prog2 Now how do I use MPI_Comm_size(MPI_COMM_WORLD, &size) such that i get size values as prog1 size=4 prog2 size=2. As of now I get "6" in both programs. This is doable albeit a bit cumbersome to get that. The principle is to split MPI_COMM_WORLD into communicators based on the value of argv[0] , which contains the executable's name. That could be something like that: #include <stdio.h> #include <string.h> #include <stdlib.h> #include <mpi.h> int main( int argc, char *argv[] ) { MPI_Init( &argc, &argv ); int

Dynamic Memory Allocation in MPI

自古美人都是妖i 提交于 2019-11-28 00:35:12
I am new to MPI. I wrote a simple code to display a matrix using multiple process. Say if I have a matrix of 8x8 and launching the MPI program with 4 processes, the 1st 2 rows will be printed my 1st process the 2nd set of 2 rows will be printed by 2nd thread so on by dividing itself equally. #define S 8 MPI_Status status; int main(int argc, char *argv[]) { int numtasks, taskid; int i, j, k = 0; MPI_Init(&argc, &argv); MPI_Comm_rank(MPI_COMM_WORLD, &taskid); MPI_Comm_size(MPI_COMM_WORLD, &numtasks); int rows, offset, remainPart, orginalRows, height, width; int **a; // int a[S][S]; if(taskid ==

Error loading MPI DLL in mpi4py

老子叫甜甜 提交于 2019-11-28 00:18:07
问题 I am trying to use Mpi4py 1.3 with python 2.7 on Windows 7 64bits. I downloaded the installable version from here which includes OpenMPI 1.6.3 so in the installed directory (*/Python27\Lib\site-packages\mpi4py\lib) following libraries exist: libmpi.lib, libmpi_cxx.lib, libopen-pal.lib, and libopen-rte.lib. Now in my codes when trying to import it: from mpi4py import MPI It returns following error: ImportError: DLL load failed: The specified module could not be found. I tried to copy a bove

Probe seems to consume the CPU

╄→гoц情女王★ 提交于 2019-11-27 22:24:34
I've got an MPI program consisting of one master process that hands off commands to a bunch of slave processes. Upon receiving a command, a slave just calls system() to do it. While the slaves are waiting for a command, they are consuming 100% of their respective CPUs. It appears that Probe() is sitting in a tight loop, but that's only a guess. What do you think might be causing this, and what could I do to fix it? Here's the code in the slave process that waits for a command. Watching the log and the top command at the same time suggests that when the slaves are consuming their CPUs, they are

Can MPI_Publish_name be used for two separately started applications?

China☆狼群 提交于 2019-11-27 09:09:54
I write an OpenMPI application which consists of a server and a client part which are launched separately: me@server1:~> mpirun server and me@server2:~> mpirun client server creates a port using MPI_Open_port . The question is: Does OpenMPI have a mechanism to communicate the port to client ? I suppose that MPI_Publish_name and MPI_Lookup_name doesn't work here because server wouldn't know to which other computer the information should be sent. To me, it looks like only processes which were started using a single mpirun can communicate with MPI_Publish_name . I also found ompi-server , but the

assign two MPI processes per core

有些话、适合烂在心里 提交于 2019-11-27 09:08:41
How do I assign 2 MPI processes per core? For example, if I do mpirun -np 4 ./application then it should use 2 physical cores to run 4 MPI processes (2 processes per core). I am using Open MPI 1.6. I did mpirun -np 4 -nc 2 ./application but wasn't able to run it. It complains mpirun was unable to launch the specified application as it could not find an executable: Hristo Iliev orterun (the Open MPI SPMD/MPMD launcher; mpirun/mpiexec are just symlinks to it) has some support for process binding but it is not flexible enough to allow you to bind two processes per core. You can try with -bycore

How to speed up this problem by MPI

|▌冷眼眸甩不掉的悲伤 提交于 2019-11-27 07:14:23
问题 (1). I am wondering how I can speed up the time-consuming computation in the loop of my code below using MPI? int main(int argc, char ** argv) { // some operations f(size); // some operations return 0; } void f(int size) { // some operations int i; double * array = new double [size]; for (i = 0; i < size; i++) // how can I use MPI to speed up this loop to compute all elements in the array? { array[i] = complicated_computation(); // time comsuming computation } // some operations using all

Why Do All My Open MPI Processes Have Rank 0?

半腔热情 提交于 2019-11-27 06:02:30
问题 I'm writing a parallel program using Open MPI . I'm running Snow Leopard 10.6.4, and I installed Open MPI through the homebrew package manager. When I run my program using mpirun -np 8 ./test , every process reports that it has rank 0, and believes the total number of processes to be 1, and 8 lines of process rank: 0, total processes: 1 get spit out to the console. I know it's not a code issue, since the exact same code will compile and run as expected on some Ubuntu machines in my college's

Openmpi mpmd get communication size

别等时光非礼了梦想. 提交于 2019-11-27 04:48:13
问题 I have two openmpi programs which I start like this mpirun -n 4 ./prog1 : -n 2 ./prog2 Now how do I use MPI_Comm_size(MPI_COMM_WORLD, &size) such that i get size values as prog1 size=4 prog2 size=2. As of now I get "6" in both programs. 回答1: This is doable albeit a bit cumbersome to get that. The principle is to split MPI_COMM_WORLD into communicators based on the value of argv[0] , which contains the executable's name. That could be something like that: #include <stdio.h> #include <string.h>

Dynamic Memory Allocation in MPI

人走茶凉 提交于 2019-11-26 21:45:07
问题 I am new to MPI. I wrote a simple code to display a matrix using multiple process. Say if I have a matrix of 8x8 and launching the MPI program with 4 processes, the 1st 2 rows will be printed my 1st process the 2nd set of 2 rows will be printed by 2nd thread so on by dividing itself equally. #define S 8 MPI_Status status; int main(int argc, char *argv[]) { int numtasks, taskid; int i, j, k = 0; MPI_Init(&argc, &argv); MPI_Comm_rank(MPI_COMM_WORLD, &taskid); MPI_Comm_size(MPI_COMM_WORLD,