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Transcript of AUVERGRID
AUVERGRID
Matthieu Reichstadt CNRS/IN2P3
ACGRID School,
Hanoi (Vietnam) November 5th, 2007
Credits: PL Reichstadt, E Medernach, JC Chevaleyre, P. Leroy
Research fields
• Applied science:– Physics– biology– Earth sciences– …
• needs for data processing– Computer system– dedicated software
applications
• Needy software– Processing resource– data storageResource sizing problem
• Used by a large community– Mutualisable pour différentes organisations– Located in differents geographics part of the world.
• Collaborative work– Software sharing– Data sharingResource sizing problem
Auvergrid for Auvergne
• goals– Enable the partners to use important computing resources,
large data storage capabilities, by gridifying their equipments– Put the regional grid as a node of the european grid EGEE
• Plan of action– Deploy grid nodes over the auvergne– User assistance – Develop grid compliant software. Port existing software on
the grid.
Computing resources of Auvergrid
GridifiedStandalone
Grid nodes Computing resources Storage space equipments
CIRI 40 bi-pro 50 Toctets Onduleurs,climatisation
LPC 200 bi-pro20 bi-pro au Biopôle
60 To
500Go au Biopôle
Onduleurs,climatisation
CEMAGREF 54 bi-pro 1To
Pôle Chimie 13 bi-pro 1To
LaMI 28 bi-pro 500 GO
OPGC 28 bi-pro 400 GO Onduleur,climatisation
Pôle Santé 5 bi-pro
IUT Aurillac 20 bi-pro 500 GO Onduleur,climatisation
IUT Le Puy 10 bi-pro 200 GO Onduleur,climatisation
LIMOS/ISIMA – Pôle modélisation
10 bi-pro 500GO
IUT Clermont (LLAIC1) 10 bi-pro 200 GO
TOTAL 438 bi-pro soit 1050 ksi2k
114,8Teraoctets
AUVERGRID 2008
AUVERGRID
Nœud 43 calcul et applications
Nœud 03calcul et applications
Nœuds 63calcul et applications
LPC et CIRICalcul, donnéeset applicationsAUVERDATA
Nœud 15 calcul et applications
LPC node cluster 200 biprocessors
Management
2 Computing Eléments
X345 2,8 Ghz
98 Workers Nodes
Bi-Xeons 3.02Ghz/ 1 Go RamCatalyst 3750
7 x 1 Gb
1 Gb/s
1 Gb/s
Catalyst 3750
98 Workers Nodes
Bi-Xeons 3.2 Ghz/ 2 Go Ram
7 x 1 Gb/sManagement
1 Gb/s
1 Gb/s2 Computing Eléments
X346 3,2 Ghz / 2Go Ram
Catalyst 2970
J-C Chevaleyre – E. Medernach – P-L Reichstadt
2 configurations like this one
} 56 Disks SATA 500 Go
DS4800 – 2 controllers→} 2 Servers X345
Complete Interconnections in FC/AL
→ 1 Storage Elément X345 2.8Ghz
→ 2nd Storage Elément X345 2.8Ghz / 600 Go
I
Storage at LPC 60To
Auvergrid provides
• access to the grid made simple• Some useful resources
– Restricted access to local users– VO distributed services
Administration of the Auvergrid VO at LPC Administration of the data replication service at LPC Resources administration in Annecy and Orsay
– By 09/01/07: > 50 registered users
• Accessibility to the grid resources deployed by the VO of EGEE– Involved in international projects
2%
2%
5%5%
5%
8%
8%
10%14%
17%
24%
Europe Centrale
Allemagne,Suisse
Asie Pacifique
Europe du Nord
Russie
Italie
France hors Auvergne
Auvergne
Europe du sud-ouest
Europe du sud-est
Irlande,Royaume-Uni
LPC+Auvergrid
050000
100000150000200000250000300000350000400000
janv-06
Feb06
mars-06
Apr06
May06
juin-06
juil-06
Aug06
sept-06
oct-06
ops
lhcb
dzero
dteam
biomed
auvergrid
atlas
alice
Exploitation result for 2006
• Biomed
• 15% local resources used by health science’s software.
• 10% of the ressources involved in the
data challenge (sur la grippe aviaire)
Research and auvergrid
• algorithmics– Structures computing (UBP) – Discrete radioactive effects
(UA)– Monte-Carlo experiment(UBP)
• Scientific applications:– Life science (UA, UBP)– physics for health science
(UBP, CJP)– Physics of particules (UBP)– Environment (CEMAGREF)– Chemistry (UBP)
• 4 PhD and 3 postdoctoral positions
Searching drugs against avianflu
• goals: – Study the impact of the
mutation of neuraminidase N1 on the efficiency of today’s drug (Tamiflu)
– Identify new drugs
• Method:– Computer calculation of the
docking probability of molecules on several mutation of neuraminidase
• An international project: – Academica Sinica Taïwan– ITB-CNR Italie – LPC Clermont-Ferrand
N1H5
Credit: Y-T Wu
Auvergne impact
• Identify the scientific goal• Preparation of the large scale
deployment• Coordination of the
deployment on 3 grids: Auvergrid, EGEE, TWGrid
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
Tem
ps C
PU
(en
heu
res)
11 12 13 14 15 16 17 18 19 20 21semaines
Phase de préparation
Phase de calculs
Credit: J. Salzemann, E. Medernach, M. Reichstadt
Computer calculation for the avianfluData challenge: 2006
2%
2%
5%5%
5%
8%
8%
10%
14%
17%
24%
Europe Centrale Allemagne,Suisse Asie PacifiqueEurope du Nord RussieItalie France hors AuvergneAuvergneEurope du sud-ouest Europe du sud-est Irlande,Royaume-Uni
World repartition of the used resources for 100 years/CPU
Auvergrid
Auvergrid, in the middle of an european dynamic
Embrace (2005-2009)Intégration des données biologiques et des
Outils d’analyse sur grilleRéseau d’excellence FP6
European Bioinformatics Institute (International)
EGEE-II (2006-2008)Infrastructure de grille européenne
Infrastructure FP6CERN (international)
BioinfoGRID (2006-2007)Recherche de nouveaux médicaments sur grille
Action Spécifique FP6CNR (Italie)
SHARE (2006–2007)Grilles pour la santé Action spécifique FP6
Healthgrid (Clermont-Ferrand)
ACGT (2005-2009)Intégration de données biologiques et médicales
pour la recherche sur le cancerProjet intégré FP6
2 engineers
3 engineers 1 PhD
1 PhD 3 engineers
8 engineers and 2 PhDin Auvergne onEuropean projects
Software development for life science
• BLAST – Grid (multisequence) / Cluster (monosequence)– Web portal
• RepeatMasker– Grid, Cluster
• HMMPfam– Grid
• Est2Genome– Grid, Cluster– Web portal
• Secured Bl2Seq – Web portal
• Secured Readseq
Software development for life science
• To use a grid tool provided by Auvergrid you need:– A grid certificate– An account on a UI (User Interface)– To be registered to a VO (virtual organisation)
• Most softwares are availables for download
• More informations: www.auvergrid.fr
Auvergrid and Lifegrid
• 3 goals to develop life science in the Auvergne– Creation of elementary information systems– Creation of a regional information system based on Auvergrid– Development of analysis tools
• Auvergrid’s role– Share human resources and skills
Lifegrid’s “technical team” helps the scientists Integration of biological data
– Computing resources and data storage
• Example : TriAnnotPipelineGrid (P. Leroy, INRA)