ISS-AliEn and ISS-gLite

2. ISS-AliEn and ISS-gLite Adrian Sevcenco RO-LCG 2011 WORKSHOP Applications of Grid Technology and High Performance Computing in Advanced Research

3. Main directions for R & D activity • Space physics: • cosmic rays, • High Energy Physics • nuclear astrophysics and particles • space plasma and magnetometry • Cosmology • General theoretical and mathematical physics • Gravitation and Microgravitation • Space technology: • engineering for space research and applications

5. AliEn cluster – ALICE dedicated cluster gLite cluster – gLite middleware cluster; VO ALICE so far RoSpaceGrid cluster – Space Plasma and Magnetometry Group (GPSM) - ISS PlanckGrid cluster - ISS Computing Facilities

6. ISS COMPUTING FACILITIES 392 CPU740 GB memory140 TB storage space  30% of total Romanian Tier 2 Federation 2% of ALICE computing (last 1 year period)

7. ISS-AliEn 1 year cluster activity

8. ISS-AliEn

9. ISS-gLite

10. Storage status

11. R&D GRID RoSpaceGRID - PECS-ESA Romanian GRID middelware repository for Space Science Applications The RoSpaceGRID framework is an implementation of GRID which consists of clusters, labs with distributed computing resources all around the world, where computer activities can be submitted for scheduled execution. The RoSpaceGRID is deployed in Institute of Space Science (ISS) for PLANCK, CLUSTER II and VENUS EXPRESS space missions. This project will be established for the benefit and in cooperation with the scientific community of the three missions mentioned above.

12. Future developments • Main data traffic : WNs <----> local storage • Change local network infrastructure to 10 GigE (dec 2011 – jan 2012)

13. Compute Unified Device Architecture ­ NVIDIA General purpose parallel computing for GPU Requirements: ISA(Instruction Set Architecture) NV driver CUDA Toolkit (CUDA SDK) CUDA parallel computing

14. Execution Model CUDA parallel computing

15. Performance optimizations Expose as much parallelism as possible Optimize memory usage to achieve maximum memory throughput Optimize instruction usage to achieve maximum  instruction throughput Maximize occupancy to hide latency CUDA parallel computing

16. Promising Future New building: • National Center for Space Science and Technology • Description: • Basement - Data Center, CleanRoom, Utilities • 1st floor – Electronic lab • 2nd ,3rd floors-Offices • Technological Roof –telescopes, satellites antenna, space science experiments Status: construction

17. Promising Future (up to 2012) Basement level • Data Center Infrastructure: • Redundant 2xUPS 250 KVA • Redundant cooling system • Generator 650KVA • Computing Facilities: • 2000 core - ALICE (AliEn +WLCG) • 1000 core – ESA Missions • 500 core - IAF (ISS Analysis Facility) • 250 core - new VO’s (Antares,etc) • 100 core -R&D GRID (testing new GRID technologies, spin-off, etc) • Storage: • 600 TB –ALICE • 250TB –ESA Missions • 100 TB –IAF • 150 TB –new VO’s

18. Thank you for your attention!

33. Promising Future New building: • National Center for Space Science and Technology • Description: • Basement - Data Center, CleanRoom, Utilities • 1st floor – Electronic lab • 2nd ,3rd floors-Offices • Technological Roof –telescopes, satellites antenna, space science experiments Status: construction

34. Promising Future (up to 2012) Basement level • Data Center Infrastructure: • Redundant 2xUPS 250 KVA • Redundant cooling system • Generator 650KVA • Computing Facilities: • 2000 core - ALICE (AliEn +WLCG) • 1000 core – ESA Missions • 500 core - IAF (ISS Analysis Facility) • 250 core - new VO’s (Antares,etc) • 100 core -R&D GRID (testing new GRID technologies, spin-off, etc) • Storage: • 600 TB –ALICE • 250TB –ESA Missions • 100 TB –IAF • 150 TB –new VO’s

35. Thank you for your attention!