RmiVirgo Web>VirgoComputing (2011-04-07, GergelyDebreczeni)

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Computing activities of the RMKI Virgo Group

What we have for computing
What we are/were doing

What we have for computing

Storage

Currently a ~40 TB disk server dedicated for the Virgo Collaboration is available. This is a DPM (Disk Pool Manager) server.
Data is accessible via the rfio , gridftp , http , htttps , srm protocols.
Server name: grid253.kfki.hu with alias virgo-se.kfki.hu

Grid User Interface

A shared user interface is available in the KFKI AFS system.
To use the UI source the configuration file: . /afs/kfki.hu/project/virgo/gliteUI/current/etc/profile.d/grid-env.sh
If you don't have AFS account for our cell contact: gridadm@rmki.kfki.hu
If you don't have a digital certificate, please read this.

GPU machines

grid251.kfki.hu,
opal4.rmki.kfki.hu

The following GPUs are available:

3 nVidia, GTX 295
3 ATI Radeon 5970
2 nVidia tesla C2050

In case of interest test login accounts can be requested. Please send an e-mail to Gergely.Debreczeni@rmki.kfki.hu

What we are/were doing

Virgo data transfer issues

Feasibility study of data transfer from Cascina with Grid tools

Read the description on this page.

Running analysis pipelins on the EGEE Grid

A feasibility study on how to use EGI Grid resources for the execution of gravitational wave search pipelines. Read the implementation plan here.

Running CBC analysis pipelins in Bologna computer center

The CNAF computer center is part of the EGI Grid, as such its resources can be accessed only through the Grid middleware and Virtual Organisation. The CBC inspiral pipeline software is heavility based on the condor batch system which is not supported and not used by the majority of EGI Grid sites. The goal of this porject is to set up a framewrok which allows the execution of CBC and CW analysis pipelines on Grid resources without modifying the software already in use. Read the description here

Hough-transformation implemented on GPUs

The Hough transformation is used for the search of gravitational waves emitted by rotating neutron stars. The sensitivity of the search is computationally bounded. The goal of this project is to implement and paralellize the algorithm on GPU devices which could possible results a significant improvement of the search sensitivity. Read the description here.

GPU_inspiral - an inspiral pipeline on many-core architectures

The insprial pipeline containt many massively paralellizable algorithm such as SNR calculation, chi2 and r2 veto. Recently developing many-core architectures are provides perfect solution to the paralell implementation of them. We have developed a platform independent CBC inspiral pipeline making use of the OpenCL language. The current features and drammatic performance increase of the pipeline is describe here.

The RMKI Budapest Virgo Group

-- GergelyDebreczeni -

Topic revision: r13 - 2011-04-07 - GergelyDebreczeni

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