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BeSTGRID: Developing NZ research infrastructure www.bestgrid.org @bestgrid Nick Jones Director, BeSTGRID Co-Director eResearch, Centre for eResearch University of Auckland [email_address]
“ BeSTGRID  aims to enhance e-Research capability in New Zealand by providing the  skill base  to help the various research disciplines engage with new eResearch services” “ BeSTGRID  aims to kick start  centralised infrastructure  with some capital investment at key institutions” BeSTGRID: since 2006
BeSTGRID: since 2006 “ BeSTGRID could well be New Zealand’s  earliest dedicated eResearch infrastructure providers  – even predating KAREN. Since 2006, BeSTGRID has been  delivering services and tools to support research and research collaboration  on shared data sets, and in accessing computational resources. ” KAREN hypen Issue 09 September 2009
Current Planned Identity provider Virtual Applications Computation Cluster Storage
Successes: within NZ ,[object Object],[object Object],[object Object],[object Object],[object Object]
What did we learn? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
* VDT - OpenScienceGrid * Globus – Argonne * Shibboleth – Internet2 * iRODS – DICE / RENCI * Sakai – Sakai Foundation * OCI - NSF  * PRAGMA – UCSD * EVO – CalTech * AccessGrid - Argonne * GenePattern – MIT Broad * caBIG - NIH * UK eScience - JISC * eFramework – JISC Shibboleth – JISC, SWITCH SLCS - Switch Sakai - JISC * Grisu – ARCS * Confluence - Atlassian * NCRIS - DIISR * QFAB - QCIF
What did we learn? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MoRST eResearch programme ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BeSTGRID   2009 – 2010 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
People: Technical Working Group ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://www.bestgrid.org/index.php/Grid_Technical_Working_Group
Computation: Grid Resources Resource name  Location  Architecture  OS  #CPU cores  Freq  Memory Notes  Auckland Cluster  Auckland  x86 Xeon  Linux  200 2.8 GHz  Operational, since June 2008.  Current Status   AUT Cluster  AUT Linux  32 Connected end September 2009 BeSTGRID Prototype Cluster  Canterbury  x86 Xeon  Linux  4  3.0 GHz  Prototype cluster, serving the community since June 2007.  BlueFern p575  Canterbury  Power5+  AIX Linux  128  1.9 GHz  Midyear 2007. 8 nodes, 16 CPU cores each.  BlueFern BlueGene  Canterbury  PowerPC  Linux  4096  770 MHz  Midyear 2007. Available only together with a  local account .  Maggie  Otago  x86 Pentium 4  Linux  10  3.0 GHz  2009 No MPI available  Massey Cluster  Masseu x86 Xeon  Linux  160 2007 Infiniband interconnect SCENZ Grid Cluster Landcare x86 Linux 104 384 GB 2010 Fibre Channel SAN
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data: Resources and Sevices
User-Centered Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Compute and storage platforms Shared investment Heterogeneous architectures Scale up science Create new opportunities Grid Middleware Provides simplified access Identity, security, queues Allows apps to ‘move laterally’ Reduces risk, connects offshore Applications and tools Increase productivity Improve collaboration ‘ Science as a service’ Research communities Deep engagement to map problems onto HPC and Grid Increased throughput, efficient Governance / Priorities Nimble, responsive & fair Connects to economic drivers
Virtual servers Shibboleth Service Provider Databases 3D Docking libraries ,[object Object],[object Object],[object Object],[object Object],Data Storage Computation Grid Jack Flanagan: Drug discovery Virtual screening pipeline Maurice Wilkins Centre Molecular docking Gene sequence DB Shared Storage X ray crystallography Shaun Lott: Biological Structure
How to bring NZ into eVLBI? ,[object Object],[object Object],[object Object]
Australia New Zealand Data Streaming Local Data NZ Antennas & DSP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],VLBI – 1. Trickle back Data, Compute, Electronics anz ska eVLBI – 2. Real time Tread-P 40 – 80 MHz Post Processor Correlation Central Processing Facility Australian Antennas
Australian NZ links ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
End Questions / Discussion www.bestgrid.org @bestgrid Nick Jones Director, BeSTGRID Co-Director eResearch, Centre for eResearch University of Auckland [email_address]

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SKA NZ R&D BeSTGRID Infrastructure

  • 1. BeSTGRID: Developing NZ research infrastructure www.bestgrid.org @bestgrid Nick Jones Director, BeSTGRID Co-Director eResearch, Centre for eResearch University of Auckland [email_address]
  • 2. “ BeSTGRID aims to enhance e-Research capability in New Zealand by providing the skill base to help the various research disciplines engage with new eResearch services” “ BeSTGRID aims to kick start centralised infrastructure with some capital investment at key institutions” BeSTGRID: since 2006
  • 3. BeSTGRID: since 2006 “ BeSTGRID could well be New Zealand’s earliest dedicated eResearch infrastructure providers – even predating KAREN. Since 2006, BeSTGRID has been delivering services and tools to support research and research collaboration on shared data sets, and in accessing computational resources. ” KAREN hypen Issue 09 September 2009
  • 4. Current Planned Identity provider Virtual Applications Computation Cluster Storage
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  • 7. * VDT - OpenScienceGrid * Globus – Argonne * Shibboleth – Internet2 * iRODS – DICE / RENCI * Sakai – Sakai Foundation * OCI - NSF * PRAGMA – UCSD * EVO – CalTech * AccessGrid - Argonne * GenePattern – MIT Broad * caBIG - NIH * UK eScience - JISC * eFramework – JISC Shibboleth – JISC, SWITCH SLCS - Switch Sakai - JISC * Grisu – ARCS * Confluence - Atlassian * NCRIS - DIISR * QFAB - QCIF
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  • 12. Computation: Grid Resources Resource name Location Architecture OS #CPU cores Freq Memory Notes Auckland Cluster Auckland x86 Xeon Linux 200 2.8 GHz Operational, since June 2008. Current Status AUT Cluster AUT Linux 32 Connected end September 2009 BeSTGRID Prototype Cluster Canterbury x86 Xeon Linux 4 3.0 GHz Prototype cluster, serving the community since June 2007. BlueFern p575 Canterbury Power5+ AIX Linux 128 1.9 GHz Midyear 2007. 8 nodes, 16 CPU cores each. BlueFern BlueGene Canterbury PowerPC Linux 4096 770 MHz Midyear 2007. Available only together with a local account . Maggie Otago x86 Pentium 4 Linux 10 3.0 GHz 2009 No MPI available Massey Cluster Masseu x86 Xeon Linux 160 2007 Infiniband interconnect SCENZ Grid Cluster Landcare x86 Linux 104 384 GB 2010 Fibre Channel SAN
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  • 15. Compute and storage platforms Shared investment Heterogeneous architectures Scale up science Create new opportunities Grid Middleware Provides simplified access Identity, security, queues Allows apps to ‘move laterally’ Reduces risk, connects offshore Applications and tools Increase productivity Improve collaboration ‘ Science as a service’ Research communities Deep engagement to map problems onto HPC and Grid Increased throughput, efficient Governance / Priorities Nimble, responsive & fair Connects to economic drivers
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  • 20. End Questions / Discussion www.bestgrid.org @bestgrid Nick Jones Director, BeSTGRID Co-Director eResearch, Centre for eResearch University of Auckland [email_address]