Cracow Grid Workshop, October 15-17, 2007 Polish Grid Polish Grid: National Grid Initiative in...
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Transcript of Cracow Grid Workshop, October 15-17, 2007 Polish Grid Polish Grid: National Grid Initiative in...
Cracow Grid Workshop, October 15-17, 2007
Polis
h
Gri
d
Polish Grid:National Grid Initiative
in Poland
Jacek KitowskiInstitute of Computer Science AGH-UST
ACK CYFRONET AGH
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Polish Grid (PL-Grid) Foundations Infrastructure Generic Architecture Grid Structure
PL-Grid Project Aims Workpackages
Sample problemsCollaboration with EGI_DS
Content
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dPL-Grid Initiative Foundations
European e-
Infrastructure
2000 Testbeds 2010 Utility ServiceRoutine Usage
National
International
Evolution of European Grid infrastructure development within the space of years
Response to the needs of Polish scientists and ongoing Grid activities in Poland, other European countries and all over the world
SGI Grid, Progress(Clusterix, National Data Store ...)
Chemomomentum, Virolab, CoreGrid, Gredia, int.eu.grid, Baltic Grid, GridLab,
Porta Optica, RINGRid, Phosphorus, QoSCoSGrid, Intelligrid, K-WfGrid, Unicore...
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dPL-Grid Initial Activities
Creation of Polish Grid (PL-Grid) Consortium
Agreement signed in January 2007
Preparation of PL-Grid Project (2008-2010, 2011-2013)
Consortium made up of five largest Polish supercomputing and networking centres (founders)
GEANT2GEANT2
♦ Academic Computer Center Cyfronet AGH (ACK CYFRONET AGH) – Coordinator ♦ Poznań Supercomputing and Networking Center (PCSS)♦ Wrocław Centre for Networking and Supercomputing (WCSS)♦ Academic Computer Center in Gdańsk (TASK)♦ Interdisciplinary Center for Math. and Computat. Modelling, Warsaw University (ICM)
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dPL-Grid motivation and aims
e-Science approach to research Computer experiments Huge, distributed and diversely structured
data Tools for data accessing, integration and
processing Versality of disciplines:
• physics, astronomy, astrophysics,• chemistry, • biology, bioinformatics,• meteorology, climatology,• medicine,• Earth sciences,• advanced text processing,• processing and management of knowledge,• e-learning.
PL-Grid vision: To enable realization of e-Science model
in various scientific fields through:• Creation of a stable Grid infrastructure fully
compatible and interoperable with European and World Grids thanks to cooperation (EGEE, DEISA, OMII, C-OMEGA, ESFRI),
• Ensuring the operation of this infrastructure in the production mode,
• Enabling the operation of domain Grids, • Using and propagating Grid standards,• Adjusting PL-Grid to user needs,• Integration, testing and installation of software
produced by leading Grid Projects (Polish and international),
• Organization of support for PL-Grid users (training, helpdesk, consultations),
• PL-Grid management.
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dPL-Grid Infrastructure
Assumptions Polish Grid will have a common base
infrastructure – similarly to solutions adopted in other countries
Specialized, domain Grid systems – including services and tools focused on specific types of applications – will be built upon this infrastructure.
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dPL-Grid infrastructure
These domain Grid systems can be further developed and maintained in the framework of separate projects. Such an approach should enable efficient use of available financial resources.
Grid infrastructure (Grid services)PL-Grid
Ap
plic
atio
n
Ap
plic
atio
n
Ap
plic
atio
n
Ap
plic
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Clusters High Performance Computers Data repositories
National Computer NetworkPIONIER
DomainGrid
Advanced Service Platforms
DomainGrid
DomainGrid
DomainGrid
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dPL-Grid Structure
PL-Grid infrastructure will be a base for specialized, domain Grid systems - including services and tools focused on the specific types of applications
Users
Nationalcomputernetwork
Grid Application
Programming Interface
Virtual organizations andsecurity systems
Basic Grid services
Gridservices
LCG/gLite(EGEE)
UNICORE(DEISA)
OtherGrids
systems
Gridresources
Distributedcomputational
resources
Grid portals, development tools
Distributed data
repositories
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dPL-Grid Structure
PL-Grid software will comprise: user tools (portals, systems for applications
management and monitoring, result visualization and other purposes, compatible with the lower-layer software used in PL-Grid);
software libraries; virtual organization systems: certificates,
accounting, security; data management systems: metadata catalogues,
replica management, file transfer; resource management systems: job management,
applications, grid services and infrastructure monitoring, license management, local resource management.
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PLANNING AND DEVELOPMENT
OF INFRASTRUCTURE
P2
CoordinationStructure
Operation RulesDissemination
PROJECT MANAGEMENTP1
SECURITY CENTER
P6
Training
SUPPORT FOR VARIOUSDOMAIN GRIDS
P5P4 GRID SOFTWAREAND USERS
TOOLS DEVELOPMENTEGEE DEISA … .
OPERATIONS CENTERP3
The PL-Grid Project is split into several workpackages
Planned realization of aims: PL-Grid Project
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dPL-Grid Workpackages
Project management (including structure and dissemination) – coordinated by ACK CYFRONET AGH (Kraków),
Planning and development of infrastructure – TASK (Gdańsk),
Operations Center – ACK CYFRONET AGH Grid Software and Users Tools
development – PCSS (Poznań),Support for domain Grids – ICM (Warsaw),Security Center – WCSS (Wrocław)
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dWP4: Grid Software and Users Tools
WP4: development Software repository Framework for application development High-level virtual organizations using
knowledge Resource virtualization for VO Semantic information on experiments Integration of software components VO and resource management Legacy codes adaptation Knowledge supported data access
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dExamples for potential use
HEP – WLCGComputational chemistry –
Gaussian, Turbomole .....(Charmm, Amber, DL_POLY..)
Biology/Pharmacy – proteins ...MeteorologyComplex systems (multiagent
games...)
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dNetworking and computational
infrastructure of Polish Tier2 for WLHG
Enabling Grids for E-sciencE
EGEE-II INFSO-RI-031688
• Gaussian VO created supported by 2 Partners (EGEE activity)
• Accepted by Vendor
• Registration: https://voms.cyf-kr.edu.pl:8443/vo/gaussian/vomrs
GAUSSIAN in Grid
• VO Manager: Mariusz Sterzel (CYFRONET), EGEE II Comput. Chemistry coordinator [email protected]
ACK: Tomasz Szepieniec
Enabling Grids for E-sciencE
EGEE-II INFSO-RI-031688
Never Born Protein Folding
ComputingElement
Euchina Virtual Organization (EGEE)
StorageElement
2. Transfer
application
User InterfacePortal
AABTDDSAD
1.Submit
sequence
3. Store protein
4. Visualize
PDB1.32 3.23 3.442.77 4.33 5.661.32 3.23 3.44
Prof. Irena Roterman interest (CM UJ)
also EUChinagrid
ACK: Tomasz Szepieniec
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# Processors, Peak Performance (GFlops) and RAM (GB) CYFRONET ICM UW PCSS CI TASK WCSS
proc. Rpeak RAM proc. Rpeak RAM proc. Rpeak RAM proc. Rpeak RAM proc. Rpeak RAM
SMP 204 1080 368 60 664 192 224 845 328 128 768 512 136 780 264
Clusters 650 8399 1729 500 3400 1036 380 3188 1068 288 3226 2304 256 3600 768
Total 854 9479 2097 560 4064 1228 604 4033 1396 416 3994 2816 392 4380 1032
End 2007 152 5666 912 1344 50000 5376 272 13077 2792
Present Partners’ Resources
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dCollaboration with EGI-DS
1. INFRASTRUCTURE-ORIENTED1.1. Release of New Grid Middleware1.2. Adding new NGI/EGI site1.3. Functionality Alert at some NGI site1.4. Resources negotiation for VO
2. APPLICATION-ORIENTED2.1. QoS bandwidth demand2.2. LHC on-line filtering2.3. Commercial application with license server2.4. Parallel application
3. END USER-ORIENTED3.1. Privately funded hardware3.2. Single user with no VO assignment needs to enter the Grid
Active participation in EGI Workshop in Budapest (2.10.07)
Use cases identification