Gauss Call No. 6 for Large Scale Projects
LRZ aktuell
publish at lrz.de
Do Jul 28 14:06:58 CEST 2011
Details of the Call
Large-scale projects and highly scalable parallel applications are
characterised by large computing time requirements, not only for short
time frames, but frequently for longer time periods. The GCS centres
will guarantee that large-scale projects can fully utilise the assigned
resources, if necessary at the expense of normal or smaller projects.
Projects are classified as "Large-Scale", if they require more than 5%
of the potentially available CPU cycles on a member centre's high-end
system, i.e.
* more than 70 Mill. core-hours at JSC (corresponding to 24 rack
months IBM BG/P)
* more than 30 Mill. core-hours at HLRS (HERMIT Step 1)
* more than 4 Mill. core-hours at LRZ (IBM iDataPlex, Migration
System for SuperMUC)
For these large-scale projects a competitive review and resource
allocation process is established by the GCS. Requests for resources
below these limits will be accepted by the individ-u-al member centres.
Requests above these limits will be handed over to GCS, handled
according to the joint procedures, and will be reviewed in the national
context. Projects of smaller scale will be still handled by the local
GCS member site.
A "Call for Large-Scale Projects" is published by the Gauss Centre
twice a year. Dates for closure of calls are usually at the end of
February and at the end of August of each year.
Eligible are applications from publicly funded academic and research
institutions, e.g., universities, Max-Planck Society and Helmholtz
Association.
The deadline for the current call is 31 August 2011, 17:00.
The next call will be issued in January 2012.
Answering the Call
Leading, ground-breaking projects should deal with complex, demanding,
innovative simula-tions that would not be possible without the GCS
infrastructure, and which can benefit from the exceptional resources
provided by GCS.
Application for a large-scale project should be performed by filling in
the electronic application form that can be accessed from the GCS web
page "Computing Time" (http://www.gauss-centre.eu/computing-time).
Note that the regular application forms of the GCS member centres can
be reached from there, and users are encouraged to choose a centre that
provides the architecture and software most appropriate for their
programs.
The proposals for large-scale projects will be first reviewed with
respect to their technical feasibility. Afterwards, they will be
peer-reviewed for a comparative scientific evaluation. On the basis of
this evaluation by a GCS committee the projects will be approved for a
period of one year and given their allocations.
Criteria for decision
Applications for compute resources are evaluated only according to
their scientific excellence.
* The proposed scientific tasks must be scientifically challenging,
and their treatment must be of substantial interest.
* Clear scientific goals and verifiable milestones on the way to
reach these goals.
* The implementation must be technically feasible on the available
computing system, and must be in proportion to the performance
characteristics of these systems.
* The Principal Investigator must have a proven scientific record,
and she/he must be able to successfully accomplish the proposed
tasks. In particular, applicants must possess the necessary
specialized know-how for the effective use of high-end computing
systems. This has to be proven in the application for compute
resources, e.g. by presenting work done on smaller computing
systems, scaling studies etc.
* The specific features of the high-end computers should be optimally
exploited by the program implemen-tations. This will be checked
regularly during the course of the project.
Further Information
* For Questions use: LRZ Helpdesk -Selfservice:
https://servicedesk.lrz.de/selfservice/Default.aspx?lang=en&service
=Hochleistungsrechnen%20und%20Grid-Supercomputing%20%28HLRB%29
* Current call as PDF
http://www.gauss-centre.eu/datapool/page/71/GaussCall6.pdf
This information is also available on our web server
http://www.lrz-muenchen.de/services/compute/hlrb/aktuell/ali4070/
Matthias Brehm
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