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Premium member Presentation Transcript Computing activities in France: Computing activities in France Dominique Boutigny CC-IN2P3 May 12, 2006 Centre de Calcul de l’IN2P3 et du DAPNIA Restricted ECFA Meeting in ParisHEP Computing Organization in France up to the BaBar / D0 Era: HEP Computing Organization in France up to the BaBar / D0 Era The computing is organized around the IN2P3 / DAPNIA Computing Center Hosting data Securing data Providing most of the computing power Physicists are located in their laboratories Connected to CC-IN2P3 Small local computing infrastructure Oriented toward DAQ developments Desktop computing Software developments Physics analysis Computing Evolution in the LHC Era: Computing Evolution in the LHC Era CC-IN2P3 still plays a central role as a Tier-1 But significant resources are building up within Tiers-2 and Tier-3 Hosting most of the data Securing data Providing a large fraction of the computing power And opening to multidisciplinary applications Grid architectureA Strong Network Infrastructure: A Strong Network Infrastructure Originally based on a private network: PhyNet Now relying on the National Research and Education Network: RENATER Backbone of the Grid architecture Opening to the European and International network Notice the 10 Gbit/s link between CERN and CC-IN2P3 LHC Optical Private Network First Optical Circuit of the RENATER 4 infrastructureCC-IN2P3 Status: CC-IN2P3 Status CC-IN2P3 is a CNRS Unit of Service and Research located in Lyon Funding (2006) 5.75 M€ - CNRS not including salaries 1.60 M€ - CEA / DAPNIA 0.78 M€ - Contracts ~2 M € - CNRS salaries Manpower: 60,5 Full Time EquivalentCPU resources: CPU resources ~1.7 MSpecInt 2000 available ~ equivalent to 1700 today’s single core processors CPU consumption at CC-IN2P3 Major upgrades ×10 in 5 years 80-85% efficiency NEC bi-Xeon FarmCPU Usage: CPU Usage All the CPU nodes can be accessed through the Grid Running 7 days a week and 24h a day Very high reliability: CC-IN2P3 is 20 year old – Our engineers know how to run and operate a large computing center Queued RunningDisk resources: Disk resources 350 TB of disk storage available to experiments Highly reliable disk system But very expensive (7 € / GB) IBM DS 8300 After a careful evaluation, CC-IN2P3 is now purchasing new storage solutions Cheaper (<2€/GB) But with performance adequate for storage intensive applications (LHC) 60 high end servers just for data access Mass Storage System (MSS): Mass Storage System (MSS) 6 StorageTek silos (36000 cartridges) Access to the MSS mainly using HPSS (High Performance Storage System) and dynamic automatic staging A lot of experience accumulated during BaBar era on Hierarchical Storage System: MSS + Disk cache ~1.2 PB in HPSS now A file on tape is copied on disk and available within 2 minutesCC-IN2P3 Users: CC-IN2P3 Users ~70 groups ~2500 users CC-IN2P3 has been opened to non-French users since the beginning of BaBar ~ 20% of CPU resources are being used by foreign physicist / institutes Nuclear Physics 14% Astroparticles 24% AUGER HESS NEMO ANTARES SNovae … A remark on AstroParticles: A remark on AstroParticles Astroparticles are now eating up ¼ of the Lyon Computing Center CC-IN2P3 is a Tier-0 for AUGER PLANCK has plans for its computing in the PByte storage scale and with large CPU needs Analysis pattern may be very demanding on: Input / Output performances Memory requirements Dumb “Pizza Boxes” may not not be enough for analysis Supercomputer models ??? Project at SLAC to develop a multi TByte central memory computer with “cheap” technology Astroparticle computing may become very challenging in the near futureSpecificities of HEP computing: Specificities of HEP computing HEP computing: 1 event 1 complete and self contained treatment N events (1 run) 1 CPU M runs M CPU Parallelism is obvious in experimental HEP Providing CPU resources is easy (with enough money ) CPU for meteorology, earth science or lattice QCD is much more complicated IT language: Weakly Coupled Parallelism So what are we good in ? High performance storage is an HEP specificity Huge mass of data High performance I/O Intensive data distribution BaBar was absolutely crucial to gain this experience It is a knowledge that we can bring to other scienceThe W-LCG project: The W-LCG project A distributed computing model on a Grid architecture for LHC computing ASCC/Taipei RAL/UK CCIN2P3/FR TRIUMF/CA GridKa/DE CNAF/IT PIC/SP BNL/US Tier-0 Tier-1 USC Krakow CIEMAT Rome Taipei Canada CSCS UB IFCA IC MSU IN2P3-LPC Cambridge IFIC Tier-2 Tier-3 GRIF IN2P3-Subatech SARA/NL LAPP CPPM Labo X The French LCG Organization: The French LCG Organization Other Tier-1 WLCG: CB, OB, MB, GDB Management Board Scientific Coord: F. Malek Technical Coord: F. Hernandez CC-IN2P3 head: D. Boutigny Technical Coord. T2/T3: F. Chollet Remote Tier-2 Steering CommitteeWorldwide Tier-1 : Worldwide Tier-1 The French Tier-1: The French Tier-1 Contributions to the computing effort at the level of the financial investment to the experiments ATLAS: 45% - CMS: 25% - ALICE: 15% - LHCb: 15% French T1 / offered capacityPlanned resources for W-LCG: Planned resources for W-LCG 2005 : ~1500 processors – ~1.3 M SpecInt2000 ~350 TB disk MSS ~ 1 PB 2008 : ~10 M SpecInt2000 4 PB disk 4 PB MSS ×8 ×11 ×4 Moore Law: ×~4 1 order of magnitude change in 3 years Impact on CC is big CPU Disk Current status Current status 500 to 1000 disk servers necessaryExpected budget: Expected budget We are planning to hire ~6 people between now and 2008 Large investment peak in 2007/2008 We also expect 3 to 4 people / year during 4 years to switch from non-LHC to LHC activities LHC Computing is a major effort at IN2P3 / DAPNIA In 2008 we foresee to devote the equivalent of the current Computing Center to non-LHC experiments.Connections to T0, T1, T2: Connections to T0, T1, T2 Connection to CERN at 10 Gb/s 3 T2 and at least 3 T3 in France Will have to make sure that the data transfers between T1 and T2 are running smoothly and with an adequate network bandwidth CC-IN2P3 and BNL will be T1 partners to ensure ATLAS data redundancy ANR project on grid interoperability and massive data transfers with Fermilab Start with a 2× 1Gb/s dedicated bandwidth then evolve to a dedicated 10 Gb/s link Strong involvement from RENATER in this project – Collaboration with IT science Several project to connect foreign “orphans” T2 to CC-IN2P3 China, Japan, Korea, Morocco, South Africa, Romania, Belgium IN2P3 strategy to establish collaborations with Asia A MOU has already been signed up with IHEP BeijingThe French Tiers-2 / AF: The French Tiers-2 / AF 3 T2 in France Nantes (ALICE) Clermont Ferrand (ALICE – ATLAS – LHCb) GRIF - T2 for the Paris region (all 4 experiments) - This is an association of 5 laboratories: DAPNIA, LAL, IPNO, LLR, LPNHE-Paris connected through a performant network + 1 Analysis facility embedded within the CC-IN2P3 T1 Rely on the T1 for Mass Storage T2 MC production MSS Physics data storage Current CC-IN2P3 CPU and Disk capacityT3 the Annecy Example: T3 the Annecy Example A significant amount of computing resources mainly oriented towards Physics Analysis 3 T3 in France: Annecy – Marseille and Strasbourg IN2P3 is concentrating its budget on the T1 T2 and T3 have to found other resources (IN2P3 will only finance T2/T3 hardware renewal after 2008) Annecy: Budget obtained up to now Ministry : 200 k€ University: 80 k€ Required budget: ~1 M€ Connected to the W-LCG Grid but with a strong priority for local users Goal 20 TB 200 CPU Manpower: 3 FTE in running phase The T3 is strongly related to the “CREDO” project: Meeting center devoted to physics LHC Dark Matter ILC Theory / ExperimentEGEE: EGEE Enabling Grids for E-sciencE is a multidisciplinary project funded by EU and driven by CERN Phase I is over – Phase II is starting now 90 partners in 32 countries Total funding for EGEE II ~ 32 M€ France is involved in several Work Package Applications Operation Network Training Quality Assurance Deep involvement from CC-IN2P3 ~10 people funded by EGEE Very important for the success of the LHC computing in France New involvement in the EGEE Network Operation Center Strong involvement from Clermont-FerrandAfter EGEE ICAD: After EGEE ICAD It is crucial to maintain the Grid operational infrastructure (and developments) after EGEE II shutdown Proposal from Guy Wormser to CNRS Multidisciplinary Research Project : ICAD Provide a distributed computing and storage infrastructure as a resource to the scientific community Built upon the present EGEE/LCG infrastructure Budget growing from 0.5 M€ to 1 M€/year Very promising project – Initial approval step in CNRS has been successful Conclusions: Conclusions LHC computing is a major challenge and IN2P3/DAPNIA is putting a lot of effort in making it a success First priority ( T1) T2 / T3 will bring important resources to LHC computing / analysis The T3 model, strongly related to physics analysis is an interesting approach in my opinion Astroparticles experiment may become a significant resource consumer very soon Computing may not be considered anymore as a local matter International partnerships are crucial The international network capacity has build up much faster than expected This is what has made the LHC computing feasible You do not have the permission to view this presentation. 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RECFA Boutigny Paola Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 21 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 22, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Computing activities in France: Computing activities in France Dominique Boutigny CC-IN2P3 May 12, 2006 Centre de Calcul de l’IN2P3 et du DAPNIA Restricted ECFA Meeting in ParisHEP Computing Organization in France up to the BaBar / D0 Era: HEP Computing Organization in France up to the BaBar / D0 Era The computing is organized around the IN2P3 / DAPNIA Computing Center Hosting data Securing data Providing most of the computing power Physicists are located in their laboratories Connected to CC-IN2P3 Small local computing infrastructure Oriented toward DAQ developments Desktop computing Software developments Physics analysis Computing Evolution in the LHC Era: Computing Evolution in the LHC Era CC-IN2P3 still plays a central role as a Tier-1 But significant resources are building up within Tiers-2 and Tier-3 Hosting most of the data Securing data Providing a large fraction of the computing power And opening to multidisciplinary applications Grid architectureA Strong Network Infrastructure: A Strong Network Infrastructure Originally based on a private network: PhyNet Now relying on the National Research and Education Network: RENATER Backbone of the Grid architecture Opening to the European and International network Notice the 10 Gbit/s link between CERN and CC-IN2P3 LHC Optical Private Network First Optical Circuit of the RENATER 4 infrastructureCC-IN2P3 Status: CC-IN2P3 Status CC-IN2P3 is a CNRS Unit of Service and Research located in Lyon Funding (2006) 5.75 M€ - CNRS not including salaries 1.60 M€ - CEA / DAPNIA 0.78 M€ - Contracts ~2 M € - CNRS salaries Manpower: 60,5 Full Time EquivalentCPU resources: CPU resources ~1.7 MSpecInt 2000 available ~ equivalent to 1700 today’s single core processors CPU consumption at CC-IN2P3 Major upgrades ×10 in 5 years 80-85% efficiency NEC bi-Xeon FarmCPU Usage: CPU Usage All the CPU nodes can be accessed through the Grid Running 7 days a week and 24h a day Very high reliability: CC-IN2P3 is 20 year old – Our engineers know how to run and operate a large computing center Queued RunningDisk resources: Disk resources 350 TB of disk storage available to experiments Highly reliable disk system But very expensive (7 € / GB) IBM DS 8300 After a careful evaluation, CC-IN2P3 is now purchasing new storage solutions Cheaper (<2€/GB) But with performance adequate for storage intensive applications (LHC) 60 high end servers just for data access Mass Storage System (MSS): Mass Storage System (MSS) 6 StorageTek silos (36000 cartridges) Access to the MSS mainly using HPSS (High Performance Storage System) and dynamic automatic staging A lot of experience accumulated during BaBar era on Hierarchical Storage System: MSS + Disk cache ~1.2 PB in HPSS now A file on tape is copied on disk and available within 2 minutesCC-IN2P3 Users: CC-IN2P3 Users ~70 groups ~2500 users CC-IN2P3 has been opened to non-French users since the beginning of BaBar ~ 20% of CPU resources are being used by foreign physicist / institutes Nuclear Physics 14% Astroparticles 24% AUGER HESS NEMO ANTARES SNovae … A remark on AstroParticles: A remark on AstroParticles Astroparticles are now eating up ¼ of the Lyon Computing Center CC-IN2P3 is a Tier-0 for AUGER PLANCK has plans for its computing in the PByte storage scale and with large CPU needs Analysis pattern may be very demanding on: Input / Output performances Memory requirements Dumb “Pizza Boxes” may not not be enough for analysis Supercomputer models ??? Project at SLAC to develop a multi TByte central memory computer with “cheap” technology Astroparticle computing may become very challenging in the near futureSpecificities of HEP computing: Specificities of HEP computing HEP computing: 1 event 1 complete and self contained treatment N events (1 run) 1 CPU M runs M CPU Parallelism is obvious in experimental HEP Providing CPU resources is easy (with enough money ) CPU for meteorology, earth science or lattice QCD is much more complicated IT language: Weakly Coupled Parallelism So what are we good in ? High performance storage is an HEP specificity Huge mass of data High performance I/O Intensive data distribution BaBar was absolutely crucial to gain this experience It is a knowledge that we can bring to other scienceThe W-LCG project: The W-LCG project A distributed computing model on a Grid architecture for LHC computing ASCC/Taipei RAL/UK CCIN2P3/FR TRIUMF/CA GridKa/DE CNAF/IT PIC/SP BNL/US Tier-0 Tier-1 USC Krakow CIEMAT Rome Taipei Canada CSCS UB IFCA IC MSU IN2P3-LPC Cambridge IFIC Tier-2 Tier-3 GRIF IN2P3-Subatech SARA/NL LAPP CPPM Labo X The French LCG Organization: The French LCG Organization Other Tier-1 WLCG: CB, OB, MB, GDB Management Board Scientific Coord: F. Malek Technical Coord: F. Hernandez CC-IN2P3 head: D. Boutigny Technical Coord. T2/T3: F. Chollet Remote Tier-2 Steering CommitteeWorldwide Tier-1 : Worldwide Tier-1 The French Tier-1: The French Tier-1 Contributions to the computing effort at the level of the financial investment to the experiments ATLAS: 45% - CMS: 25% - ALICE: 15% - LHCb: 15% French T1 / offered capacityPlanned resources for W-LCG: Planned resources for W-LCG 2005 : ~1500 processors – ~1.3 M SpecInt2000 ~350 TB disk MSS ~ 1 PB 2008 : ~10 M SpecInt2000 4 PB disk 4 PB MSS ×8 ×11 ×4 Moore Law: ×~4 1 order of magnitude change in 3 years Impact on CC is big CPU Disk Current status Current status 500 to 1000 disk servers necessaryExpected budget: Expected budget We are planning to hire ~6 people between now and 2008 Large investment peak in 2007/2008 We also expect 3 to 4 people / year during 4 years to switch from non-LHC to LHC activities LHC Computing is a major effort at IN2P3 / DAPNIA In 2008 we foresee to devote the equivalent of the current Computing Center to non-LHC experiments.Connections to T0, T1, T2: Connections to T0, T1, T2 Connection to CERN at 10 Gb/s 3 T2 and at least 3 T3 in France Will have to make sure that the data transfers between T1 and T2 are running smoothly and with an adequate network bandwidth CC-IN2P3 and BNL will be T1 partners to ensure ATLAS data redundancy ANR project on grid interoperability and massive data transfers with Fermilab Start with a 2× 1Gb/s dedicated bandwidth then evolve to a dedicated 10 Gb/s link Strong involvement from RENATER in this project – Collaboration with IT science Several project to connect foreign “orphans” T2 to CC-IN2P3 China, Japan, Korea, Morocco, South Africa, Romania, Belgium IN2P3 strategy to establish collaborations with Asia A MOU has already been signed up with IHEP BeijingThe French Tiers-2 / AF: The French Tiers-2 / AF 3 T2 in France Nantes (ALICE) Clermont Ferrand (ALICE – ATLAS – LHCb) GRIF - T2 for the Paris region (all 4 experiments) - This is an association of 5 laboratories: DAPNIA, LAL, IPNO, LLR, LPNHE-Paris connected through a performant network + 1 Analysis facility embedded within the CC-IN2P3 T1 Rely on the T1 for Mass Storage T2 MC production MSS Physics data storage Current CC-IN2P3 CPU and Disk capacityT3 the Annecy Example: T3 the Annecy Example A significant amount of computing resources mainly oriented towards Physics Analysis 3 T3 in France: Annecy – Marseille and Strasbourg IN2P3 is concentrating its budget on the T1 T2 and T3 have to found other resources (IN2P3 will only finance T2/T3 hardware renewal after 2008) Annecy: Budget obtained up to now Ministry : 200 k€ University: 80 k€ Required budget: ~1 M€ Connected to the W-LCG Grid but with a strong priority for local users Goal 20 TB 200 CPU Manpower: 3 FTE in running phase The T3 is strongly related to the “CREDO” project: Meeting center devoted to physics LHC Dark Matter ILC Theory / ExperimentEGEE: EGEE Enabling Grids for E-sciencE is a multidisciplinary project funded by EU and driven by CERN Phase I is over – Phase II is starting now 90 partners in 32 countries Total funding for EGEE II ~ 32 M€ France is involved in several Work Package Applications Operation Network Training Quality Assurance Deep involvement from CC-IN2P3 ~10 people funded by EGEE Very important for the success of the LHC computing in France New involvement in the EGEE Network Operation Center Strong involvement from Clermont-FerrandAfter EGEE ICAD: After EGEE ICAD It is crucial to maintain the Grid operational infrastructure (and developments) after EGEE II shutdown Proposal from Guy Wormser to CNRS Multidisciplinary Research Project : ICAD Provide a distributed computing and storage infrastructure as a resource to the scientific community Built upon the present EGEE/LCG infrastructure Budget growing from 0.5 M€ to 1 M€/year Very promising project – Initial approval step in CNRS has been successful Conclusions: Conclusions LHC computing is a major challenge and IN2P3/DAPNIA is putting a lot of effort in making it a success First priority ( T1) T2 / T3 will bring important resources to LHC computing / analysis The T3 model, strongly related to physics analysis is an interesting approach in my opinion Astroparticles experiment may become a significant resource consumer very soon Computing may not be considered anymore as a local matter International partnerships are crucial The international network capacity has build up much faster than expected This is what has made the LHC computing feasible