error detects in labs in spmd
Show older comments
hi,
I have problem with this code , I can not know what is the reason.
this error what I got:
Starting matlabpool using the 'local' configuration ... connected to 2 labs. Lab 2:
ans =
0
??? Error using ==> spmd_feval at 8 Error detected on lab(s) 2
Error in ==> test at 7 Nofusers=700;k1=1;
Caused by:
You must call TIC without an output argument before calling TOC
without an input argument.
Error stack:
(No remote error stack)
%%%the code%% clc;clear;close all;
N=2; % Number of your CPU core, in my case, 4
matlabpool(N) % open N multicores for the parallel computation
tic
spmd % similar with for loop
Nofusers=700;k1=1;
f=fopen('d:\matlab\r2011a\bin\data_net.txt');
for i=1:Nofusers
gl=fgetl(f);
celcod{i}=str2num(gl);
end
fclose all
toc
matlabpool close % you must close the multicore calculation statement
end
thanks
Answers (1)
Walter Roberson
on 24 Jan 2014
0 votes
Your nesting appears to be off. You have the "matlabpool close" and the "toc" before it inside the spmd block.
Each lab is effectively a different MATLAB session. The "tic" before the spmd block is not in the same session as the "toc" inside the spmd block.
9 Comments
huda nawaf
on 24 Jan 2014
huda nawaf
on 26 Jan 2014
Walter Roberson
on 26 Jan 2014
Please show your revised code.
huda nawaf
on 27 Jan 2014
Edited: huda nawaf
on 27 Jan 2014
Walter Roberson
on 27 Jan 2014
Okay, so is there any question left at this point?
huda nawaf
on 28 Jan 2014
huda nawaf
on 28 Jan 2014
Edited: Walter Roberson
on 28 Jan 2014
Walter Roberson
on 28 Jan 2014
Depend on the total time (6.215617)
Your semantic error appears to be repaired.
Was your task to observe "the difference in terms of time between code use spmd and other code do not use it" ? If so then you have done that. Or was your task to come up with some code that runs faster using spmd than with serial? Because if your task was to explain the timings then you should be studying the documentation about how spmd works.
huda nawaf
on 28 Jan 2014
Categories
Find more on Parallel Computing Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!