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© Geodise Project, University of Southampton, 2003. Geodise Middleware Graeme Pound, Gang Xue & Matthew Fairman Summer 2003.

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Presentation on theme: "© Geodise Project, University of Southampton, 2003. Geodise Middleware Graeme Pound, Gang Xue & Matthew Fairman Summer 2003."— Presentation transcript:

1 © Geodise Project, University of Southampton, 2003. Geodise Middleware Graeme Pound, Gang Xue & Matthew Fairman Summer 2003

2 © Geodise Project, University of Southampton, 2003. Computational Toolbox Access to Globus compute resources from Matlab Proxy certificate management, job submission and file transfer Complex grid-enabled workflows may be coordinated from Matlab Uses the Java CoG 1.1 

3 © Geodise Project, University of Southampton, 2003. Computational Toolbox gd_createproxy.m Creates a Globus proxy certificate for the user's credentials gd_destroyproxy.m Destroys the local copy of the user's Globus proxy certificate gd_certinfo.m Returns information about the user's certificate gd_proxyinfo.m Returns information about the user's proxy certificate gd_proxyquery.m Queries whether a valid proxy certificate exists gd_jobsubmit.m Submits a compute job to a Globus GRAM job manager gd_jobstatus.m Gets the status of a Globus GRAM job gd_jobpoll.m Queries the status of a Globus GRAM job until complete gd_jobkill.m Kills a Globus GRAM specified by job handle gd_putfile.m Puts a remote file using GridFtp gd_getfile.m Retrieves a remote file using GridFtp gd_rmfile.m Deletes a remote file using GridFtp gd_makedir.m Creates a remote directory using GridFtp gd_rmdir.m Deletes a remote directory using GridFtp

4 © Geodise Project, University of Southampton, 2003. Jython Computational Toolbox Python interface to functionality of Matlab Computational Toolbox Jython is a 100% Java implementation of the Python scripting language Lightweight alternative to the Matlab Computational Toolbox

5 © Geodise Project, University of Southampton, 2003. Job Submission Service Client Matlab client to job submission web service User detached from compute endpoint – Condor pool Machines publish available resources: –HasProEngineer = TRUE –ProEngineerVersion = "2001400" –ProEngineerPath = "C:\Program Files\proe2001\bin DIME file transfer over http MATLAB Client Functions: – grid_platform – Describes the platform requirements of the job – grid_submit – Submits the job to the web service, returns a job ID – grid_poll – Polls job ID – grid_status – Queries job status – grid_results – Retrieves the output files

6 © Geodise Project, University of Southampton, 2003. Geodise Optimisation Graeme Pound & Hakki Eres Summer 2003

7 © Geodise Project, University of Southampton, 2003. OptionsMatlab Matlab interface to the Options design exploration system State of the art design search and optimisation algorithms Objective and constraint functions exposed as Matlab functions Grid-enabled job brokers easily incorporated

8 © Geodise Project, University of Southampton, 2003. OptionsMatlab Parallel Architecture optjob.m allows evaluation of multiple design points Concurrent evaluation of optfun.m and optcon.m using Objective Function Service Client Single evaluation via optjob.m from the optfun and optcon subroutines Matlab environment OptionsMatlab.dll optjob.m optjoboptfunoptcon optfun.m optcon.m

9 © Geodise Project, University of Southampton, 2003. Objective Function Client Grid-enabled objective function evaluation Enables multiple concurrent evaluations Matlab functions provided: – gd_objsubmit - Transfers required files, submits job and returns handle – gd_objvalue - Retrieves function evaluation, prints standard output of failed jobs and cleans up files – gd_objcleanup - Removes remote files of specified jobs Multiple Matlab processes, one Matlab licence Configuration file defines available objective function servers

10 © Geodise Project, University of Southampton, 2003. Objective Function Client Matlab Geodise file archive Globus server gd_archive.m gd_objsubmit.m gd_jobpoll.m gd_objvalue.m Matlab objfun.m 1 2 3 4 5

11 © Geodise Project, University of Southampton, 2003. Conclusions Submitting compute jobs is the easy bit. Complexity of grid computing includes: –applying for authorisation at a numerous locations –managing the transfer of files –keeping track of heterogeneous compute resources Requirements for: –Grid enabled data management –Transparent Grid-enabled tools –Consistent computing environments –Reservation and co-allocation of resources –Grid debugging


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