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Special Jobs Claudio Cherubino INFN - Catania

Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

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Page 1: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

Special Jobs

Claudio CherubinoINFN - Catania

Page 2: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

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• MPI jobs on gLite

• DAG

• Job Collection

• Parametric jobs

Outline

Page 3: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

MPI Overview

• Execution of parallel jobs is an essential issue for modern informatics and applications.

• Most used library for parallel jobs support is MPI (Message Passing Interface)

• At the state of the art, parallel jobs can run inside single Computing Elements (CE) only; several projects are involved into studies concerning

the possibility of executing parallel jobs on Worker Nodes (WNs) belonging to different CEs.

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Requirements & settings

• In order to guarantee that MPI job can run, the following requirements MUST BE satisfied:

the MPICH software must be installed and placed in the PATH environment variable on each WNs of the CE.

Some MPI’s applications require a shared filesystem among

the WNs to run.

The variable VO_<name_of_VO>_SW_DIR will contain the name of a directory in case of SHARED filesystem.

The variable VO_<name_of_VO>_SW_DIR will contain “.” if there is NO SHARED filesystem.

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• From the user’s point of view, jobs to be run as MPI are specified setting the JDL JobType attribute to MPICH and specifying the NodeNumber attribute as well.

• E.g.:

…JobType = “MPICH”;NodeNumber = 4;…

This attribute defines the required number of CPUs needed for the application

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• When the previous two attributes are included in a JDL, the User Interface (UI) automatically adds the following expression:

to the JDL Requirements expression in order to find out the best resource where the job can be executed.

(other.GlueCEInfoTotalCPUs >= NodeNumber) &&

Member (“MPICH”,other.GlueHostApplicationSoftwareRunTimeEnvironment)

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MPI exercise

Create the file “mpi-glite.jdl” inside $HOME/EXAMPLES/gLite/Other and put this contents inside the file:

[ Type = "Job";

JobType = "MPICH";Executable = “cpi";

NodeNumber = 2;StdOutput = “cpi.out"; StdError = “cpi.err";InputSandbox = {"cpi"};OutputSandbox = {“cpi.err",“cpi.out"};RetryCount = 0;

]

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MPI submission

[glite-tutor] /home/claudio > edg-job-submit -o id mpi-glite.jdl

Selected Virtual Organisation name (from proxy certificate extension): gilda

Connecting to host glite-rb.ct.infn.it, port 7772Logging to host glite-rb.ct.infn.it, port 9002

========== glite-job-submit Success ====================== The job has been successfully submitted to the Network Server. Use glite-job-status command to check job current status. Your

job identifier is:

- https://glite-rb.ct.infn.it:9000/bsrbbzbcXZWSzU3iUYlm6g

The job identifier has been saved in the following file: /home/claudio/id==========================================================

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MPI status and output

Query the status of the job using the following command:

[glite-tutor] /home/claudio > edg-job-status -i id

…………………………………………….

When the status of the job is “DONE”, you can retrieve output with the following command:

[glite-tutor] /home/claudio > edg-job-get-output -i id

……………………………………………

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MPI on the web…

• LCG-2 User Guide Manuals Series https://edms.cern.ch/file/454439/LCG-2-UserGuide.pdf

• http://oscinfo.osc.edu/training/

• http://www.netlib.org/mpi/index.html

• http://www-unix.mcs.anl.gov/mpi/learning.html

• http://www.ncsa.uiuc.edu/

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Workload Manager Proxy

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WMProxy overview

• WMProxy (Workload Manager Proxy) is a new service providing access to the

gLite Workload Management System (WMS) functionality through a simple Web Services based interface.

has been designed to efficiently handle a large number of requests for job submission and control to the WMS

the service interface addresses the Web Services and SOA architecture standards, in particular adhering to WS-I

developed in C++ using gsoap 2.7.6b as soap stubs generator

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New request types

• Support for new types strongly relies on newly developed JDL converters and on the DAG submission support all JDL conversions are performed on the server a single submission for several jobs

• All new request types can be monitored and controlled through a single handle (the request id) each sub-jobs can be however followed-up and

controlled independently through its own id• “Smarter” WMS client commands/API

allow submission of DAGs, collections and parametric jobs exploiting the concept of “shared sandbox”

allow automatic generation and submission of collections and DAGs from sets of JDL files located in user specified directories on the UI

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WMProxy : submission & monitoring

• In order to submit jobs with WMProxy, it’s mandatory to delegate credentials:

• The submission/monitoring commands are slightly different, but most of the “old” options are supported

glite-wms-job-delegate-proxy -d del_ID

glite-wms-job-submit -d del_ID collection.jdl

glite-wms-job-status jobID

glite-wms-job-output \

https://glite-rb.ct.infn.it:9000/LHIIGaCVdl7Olm

sz0jpI_g

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DAG job

• A DAG job is a set of jobs where input, output, or execution of one or more jobs can depend on other jobs

• Dependencies are represented through Directed Acyclic Graphs, where the nodes are jobs, and the edges identify the dependencies

nodeA

nodeB nodeC NodeF

nodeD

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JDL structure

Page 17: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

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Attribute: Nodes

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Attribute: Dependencies

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DAG jdl

[ type = "dag"; max_nodes_running = 4; nodes = [ nodeA = [ file ="nodes/nodeA.jdl" ; ]; nodeB = [ file ="nodes/nodeB.jdl" ; ]; nodeC = [ file ="nodes/nodeC.jdl" ; ]; nodeD = [ file ="nodes/nodeD.jdl"; ]; dependencies = { {nodeA, nodeB}, {nodeA, nodeC}, { {nodeB,nodeC}, nodeD } } ];]

Node description could also be done here,

instead of using separate files

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Page 21: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

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Job Collection

• A job collection is a set of independent jobs that user wants to submit and monitor via a single request

• Jobs of a collection are submitted as DAG nodes without dependencies

• JDL is a list of classad, which describes the subjobs

[ Type = "collection"; VirtualOrganisation = “gilda";

nodes = { [ <job descr 1 >], [ <job descr 2 >], …};

]

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‘Scattered’ Input Sandboxes

• Input Sandbox can contain file paths on the UI machine (i.e. the usual way) URI pointing to files on a remote gridFTP/HTTPS server

InputSandbox = {"gsiftp://neo.datamat.it:2811/var/prg/sim.exe","https://ghemon.cnaf.infn.it:8443/data/idat_1","file:///home/pacio/myconf“ };

• A base URI to be applied to all sandbox files can also be specified

InputSandboxBaseURI = "gsiftp://matrix.datamat.it:2811/var";

• Only local files (file://) are uploaded to the WMS node• File pointed by URIs are directly downloaded on the WN by

the JobWrapper just before the job is started

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Job collection example

[ type = "collection"; InputSandbox = {"date.sh"}; RetryCount = 0; nodes = { [ file ="jobs/job1.jdl" ; ], [ [

Executable = "/bin/sh"; Arguments = "date.sh"; Stdoutput = "date.out"; StdError = "date.err"; OutputSandbox ={"date.out", "date.err"};]

], [ file ="jobs/job3.jdl" ; ] };]

All nodes will share this Input Sandbox

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Page 25: Special Jobs Claudio Cherubino INFN - Catania. 2 MPI jobs on gLite DAG Job Collection Parametric jobs Outline

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Parametric Job

• A parametric job is a job where one or more of its attributes are parameterized

• Values of attributes vary according to a parameter

• Job monitoring / managing is always done through an unique jobID, as if the job was single (see submission of collection

[ JobType = "Parametric"; Executable = "/bin/sh"; Arguments = "md5.sh input_PARAM_.txt"; InputSandbox = {"md5.sh", "input_PARAM_.txt"}; StdOutput = "out_PARAM_.txt"; StdError = "err_PARAM_.txt"; Parameters = 4; ParameterStart = 1; ParameterStep = 1; OutputSandbox = {"out_PARAM_.txt", "err_PARAM_.txt"};]

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Parametric Job / 2

• Parameter can be also a list of string• InputSandbox (if present) has to be coherent with

parameters[ui-test] /home/giorgio/param > cat param2.jdl[ JobType = "Parametric";

Executable = “/bin/cat"; Arguments = “input_PARAM_.txt”;

InputSandbox = "input_PARAM_.txt"; StdOutput = "myoutput_PARAM_.txt"; StdError = "myerror_PARAM_.txt"; Parameters = {earth,moon,mars}; OutputSandbox = {“myoutput_PARAM_.txt”};

]

[ui-test] /home/giorgio/param > ls

inputEARTH.txt inputMARS.txt inputMOON.txt param2.jdl

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References

• JDL attributes specification for WM proxy https://edms.cern.ch/document/590869/1

• WMProxy quickstart http://egee-jra1-wm.mi.infn.it/egee-jra

1-wm/wmproxy_client_quickstart.shtml

• WMS user guides https://edms.cern.ch/document/572489/1

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Questions…