Grid computing
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Grid Computing. AEI Numerical Relativity Group has access to high-end resources in over ten centers in Europe/USA They want: Bigger simulations, more simulations and faster throughput Intuitive IO at local workstation No new systems/techniques to master!!

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Grid Computing

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Grid computing

Grid Computing

  • AEI Numerical Relativity Group has access to high-end resources in over ten centers in Europe/USA

  • They want:

    • Bigger simulations, more simulations and faster throughput

    • Intuitive IO at local workstation

    • No new systems/techniques to master!!

  • How to make best use of these resources?

    • Provide easier access … noone can remember ten usernames, passwords, batch systems, file systems, … great start!!!

    • Combine resources for larger productions runs (more resolution badly needed!)

    • Dynamic scenarios … automatically use what is available

  • Many other reasons for Grid Computing for computer scientists, funding agencies, supercomputer centers ...


Grand picture

Grand Picture

Viz of data from previous simulations in SF café

Remote steering and monitoring from airport

Remote Viz in St Louis

Remote Viz and steering from Berlin

DataGrid/DPSS

Downsampling

IsoSurfaces

http

HDF5

T3E: Garching

Origin: NCSA

Globus

Simulations launched from Cactus Portal

Grid enabled Cactus runs on distributed machines


Thorn httpd

Thorn which allows simulation any to act as its own web server

Connect to simulation from any browseranywhere

Monitor run: parameters, basic visualization, ...

Change steerable parameters

See running example at www.CactusCode.org

Wireless remote viz, monitoring and steering

Thorn HTTPD


Users view

Users View


User portal

User Portal

  • Find resources

    • automatically finds machines with a user allocation (group aware!)

    • continuously monitor resources, network etc.

  • Authentification

    • single login, don’t need to remember lots of usernames/passwords

  • Launch simulation

    • automatically create executable on chosen machine

    • write data to appropriate storage location

    • negotiate local queue structures

  • Monitor/steer simulations

    • access remote visualization and steering while simulation is running

    • collaborative … choose who else can look in and/or steer

    • performance … how efficient is the simulation?

  • Archiving

    • store thorn lists, parameter files, output locations, configurations, …


Cactus portal

Cactus Portal

  • KDI ASC Project

  • Technology: Globus, GSI, Java Beans, DHTML, Java CoG, MyProxy, GPDK, TomCat, Stronghold

  • Allows submission of distributed runs

  • Accesses the ASC Grid Testbed (SDSC, NCSA, Argonne, ZIB, AHPCC, WashU, AEI)

  • Undergoing testing by users now!

  • Main difficulty now is that it requires everything to work …

  • But is going to revolutionise our use of computing resources


Asc astrophysics simulation collaboratory

ASC: Astrophysics Simulation Collaboratory

  • NSF Funded Knowledge and Distributed Intelligence project

  • Institutes: WashU, Rutgers, Argonne, U. Chicago, NCSA

  • Aim: Develop a collaboratory for the astrophysics community to provide the capability for massively parallel computation including AMR, interactive visualization and metacomputing.

  • http://www.ASCPortal.org/

  • ASC Portal: General simulation portal interfacing to Cactus

    • Globus, GSI, Java Beans, DHTML, Java CoG, MyProxy, GPDK, TomCat, Stronghold

    • Version 1 included code assembly, compilation, job submission

    • Version 2 now being developed, based on user feedback


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