Thanks for your reply, David. 
  
 
  I tried to the command "mpirun -np N" in the RB example 5, but there was a 
problem that the same code is running repeatedly as follows. 
  
============================================================================================
 
  $ mpirun -np 3 ./example-opt 
  ... 
  (skip) 
  ... 
  
 
  ---- Performing Greedy basis enrichment ---- 
  
 
  ---- Basis dimension: 0 ---- 
  Performing RB solves on training set 
  Maximum error bound is 90.1602 
  
 
  Performing truth solve at parameter: 
  load_Fx: -3.274396e+00 
  load_Fy: -4.127732e+00 
  load_Fz: 9.887087e-01 
  point_load_Fx: -4.856018e+00 
  point_load_Fy: -4.622528e+00 
  point_load_Fz: 4.774231e+00 
  x_scaling: 1.146354e+00 
  
 
  
 
  ---- Performing Greedy basis enrichment ---- 
  
 
  ---- Basis dimension: 0 ---- 
  Performing RB solves on training set 
  Maximum error bound is 90.1602 
  
 
  Performing truth solve at parameter: 
  load_Fx: -3.274396e+00 
  load_Fy: -4.127732e+00 
  load_Fz: 9.887087e-01 
  point_load_Fx: -4.856018e+00 
  point_load_Fy: -4.622528e+00 
  point_load_Fz: 4.774231e+00 
  x_scaling: 1.146354e+00 
  
 
  
 
  ---- Performing Greedy basis enrichment ---- 
  
 
  ---- Basis dimension: 0 ---- 
  Performing RB solves on training set 
  Maximum error bound is 90.1602 
  
 
  Performing truth solve at parameter: 
  load_Fx: -3.274396e+00 
  load_Fy: -4.127732e+00 
  load_Fz: 9.887087e-01 
  point_load_Fx: -4.856018e+00 
  point_load_Fy: -4.622528e+00 
  point_load_Fz: 4.774231e+00 
  x_scaling: 1.146354e+00 
  
 
  Enriching the RB space 
  Enriching the RB space 
  Updating RB matrices 
  Updating RB matrices 
  Updating RB residual terms 
  Updating RB residual terms 
  Enriching the RB space 
  Updating RB matrices 
  Updating RB residual terms 
  
 
  ---- Basis dimension: 1 ---- 
  Performing RB solves on training set 
  
 
  ---- Basis dimension: 1 ---- 
  Performing RB solves on training set 
  Maximum error bound is 337.302 
  
 
  Performing truth solve at parameter: 
  load_Fx: -1.545951e-01 
  load_Fy: -2.327825e+00 
  load_Fz: 3.578962e+00 
  point_load_Fx: 8.882769e-01 
  point_load_Fy: 5.864229e-01 
  point_load_Fz: 4.982374e+00 
  x_scaling: 1.228777e+00 
  
 
  Maximum error bound is 337.302 
  
 
  Performing truth solve at parameter: 
  load_Fx: -1.545951e-01 
  load_Fy: -2.327825e+00 
  load_Fz: 3.578962e+00 
  point_load_Fx: 8.882769e-01 
  point_load_Fy: 5.864229e-01 
  point_load_Fz: 4.982374e+00 
  x_scaling: 1.228777e+00 
  
 
  
 
  ---- Basis dimension: 1 ---- 
  Performing RB solves on training set 
  Maximum error bound is 337.302 
  
 
  Performing truth solve at parameter: 
  load_Fx: -1.545951e-01 
  load_Fy: -2.327825e+00 
  load_Fz: 3.578962e+00 
  point_load_Fx: 8.882769e-01 
  point_load_Fy: 5.864229e-01 
  point_load_Fz: 4.982374e+00 
  x_scaling: 1.228777e+00 
  
 
  Enriching the RB space 
  Updating RB matrices 
  Enriching the RB space 
  Updating RB matrices 
  Updating RB residual terms 
  Updating RB residual terms 
  Enriching the RB space 
  Updating RB matrices 
  Updating RB residual terms 
  
 
  ---- Basis dimension: 2 ---- 
  Performing RB solves on training set 
  
 
  ---- Basis dimension: 2 ---- 
  Performing RB solves on training set 
  Maximum error bound is 469.21 
  
 
   
   ... 
   (skip) 
   ... 
  
 
  
 
  ---- Basis dimension: 15 ---- 
  Performing RB solves on training set 
  
 
  ---- Basis dimension: 15 ---- 
  Performing RB solves on training set 
  
 
  ---- Basis dimension: 15 ---- 
  Performing RB solves on training set 
  Maximum error bound is 2.50754 
  
 
  Maximum number of basis functions reached: Nmax = 15 
  *** Warning, This code is deprecated, and likely to be removed in future 
library versions! ./include/libmesh/mesh_tools.h, line 70, compiled Aug 25 2017 
at 02:15:21 *** 
  Maximum error bound is 2.50754 
  
 
  Maximum number of basis functions reached: Nmax = 15 
  *** Warning, This code is deprecated, and likely to be removed in future 
library versions! ./include/libmesh/mesh_tools.h, line 70, compiled Aug 25 2017 
at 02:15:21 *** 
  Maximum error bound is 2.50754 
  
 
  Maximum number of basis functions reached: Nmax = 15 
  *** Warning, This code is deprecated, and likely to be removed in future 
library versions! ./include/libmesh/mesh_tools.h, line 70, compiled Aug 25 2017 
at 02:15:21 *** 
   
   
 
  
 
  
    (end) 
  
 
   
  
====================================================================================================================================================
 
  Other examples had the same problem, too. 
  Did I type the command wrong? If not, I want to know what is wrong. 
  
 
  Best regards, 
  Kang 
  
 
   
   ----- Original Message -----
From: David Knezevic <david.kneze...@akselos.com>
To: "S. Kang" <ss.k...@pusan.ac.kr>
Cc: Libmesh user group <libmesh-users@lists.sourceforge.net>
Date: Mon, 12 Feb 2018 22:28:09 +0900 (GMT)
subject: Re: [Libmesh-users] Using multi-core in execution files 
   
 
   
     Hello, 
     
     
 
    
 
    
      You can run the reduced basis code in parallel. You do it just the same 
way that you run any other libMesh code in parallel, i.e. just run with "mpirun 
-np N" where N specifies the number of processors that you want to use. 
    
 
     
     
 
    
 
    
      If you want more info on the parallelization approach that is used, 
please refer to 
     this paper. 
    
 
     
     
 
    
 
    
      Best, 
    
 
    
      David 
    
 
     
     
 
    
 
     
     
 
     
       On Sun, Feb 11, 2018 at 9:30 PM, S. Kang 
      <ss.k...@pusan.ac.kr> wrote: 
      
 
       
       
 
       
 
       
   Hello everyone, 
       
 
       
 
       
 
       
   I am solving RB problems, but it takes too long because of many basis 
vectors. 
       
   So, similar to "make -j 10", I want to know how to use multi-core in 
execution files, not parallel programming. 
       
 
       
 
       
   Best regards, 
       
 
       
   S. Kang. 
       
 
       
 
       
 
       
 ------------------------------ 
       ------------------------------ 
       
 Shinseong Kang 
       
 Graduate Student 
       
 Pusan National University, South Korea 
       
 H.P.: 010-9770-6595 
       
 E-mail: 
       ss.k...@pusan.ac.kr 
       
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