cannot fetch results from tasks finished without errors

6 visualizaciones (últimos 30 días)
Degang
Degang el 22 de Ag. de 2014
Editada: Hassan Naseri el 11 de Nov. de 2014
I created 10 tasks and submitted them to a local cluster. After a while, the job monitor shown that all tasks had been finished without errors. Then, when I tried to fetch the results using
job_output = fetchOutputs(job)
I got the following error messages:
Error using parallel.Job/fetchOutputs (line 968)
Task with ID 8 returned 0 outputs but 4 were expected.
Error in parallel.internal.ui.jobMonitorHelper>iRunCodeInCommandWindow (line
208)
evalin('base', code);
Error in parallel.internal.ui.jobMonitorHelper>iFindJobAndRunCode (line 200)
iRunCodeInCommandWindow(code);
Error in parallel.internal.ui.jobMonitorHelper (line 72)
iFindJobAndRunCode(profileName, jobID, template);
How do I find out what went wrong?
  2 comentarios
Thomas Ibbotson
Thomas Ibbotson el 22 de Ag. de 2014
It looks like the task with ID 8 was specified to return 4 output arguments, but didn't return any. What was the task function?
Degang
Degang el 23 de Ag. de 2014
A user-defined function that returns 4 output arguments. When I run that function using the same sets of input arguments one by one, it turns out fine. I'm considering the probability that the function might use too much memory.

Iniciar sesión para comentar.

Respuestas (1)

Hassan Naseri
Hassan Naseri el 11 de Nov. de 2014
Editada: Hassan Naseri el 11 de Nov. de 2014
It is very likely that the problem is related to memory limitation or timeout on the workers. If some tasks are killed by the cluster, you won't be able to successfully fetch the results. Increase the quota values for memory and processing time. The follwoings work for my job.
ClusterInfo.setWallTime('01:00:00');
ClusterInfo.setMemUsage('15000');
Use appropriate settings for you job and do not set a very large WallTime, since it may delay your tasks in the queue. If you do not have these commands, download ClusterInfo from MATLAB File Exchange.

Categorías

Más información sobre MATLAB Parallel Server en Help Center y File Exchange.

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by