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Open Source Cluster Application Resources (OSCAR)

Open Source Cluster Application Resources (OSCAR). Stephen L. Scott Thomas Naughton Geoffroy Vallée. Network and Cluster Computing Computer Science and Mathematics Division. OSCAR. OSCAR. O pen S ource C luster A pplication R esources.

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Open Source Cluster Application Resources (OSCAR)

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  1. Open Source Cluster Application Resources (OSCAR) Stephen L. ScottThomas NaughtonGeoffroy Vallée Network and Cluster Computing Computer Science and Mathematics Division

  2. OSCAR OSCAR Open Source Cluster Application Resources • Consortium of academic, research and industry members. • Snapshot of best known methods for building, programming and using clusters.

  3. Over 5-years of OSCAR Concept first discussed January 2000 OSCARV5.0 April 2000 Organizational meeting • Cluster assembly is time consuming and repetitive • Nice to offer a toolkit to automate • Leverage wealth of open source components April 2001 First public release Nov 2006 Released at SC06

  4. What does OSCAR do? • Wizard based cluster software installation • Operating system • Cluster environment • Automatically configures cluster components • Increases consistency among cluster builds • Reduces time to build / install a cluster • Reduces need for expertise

  5. Design goals Leverage“best practices” whenever possible Reduce overhead for cluster management Extensibility for new Software and Projects • Modular meta-package system / API – “OSCAR Packages” • Keep it simple for package authors • Open Source to foster reuse and community participation • Fosters “spin-offs” to reuse OSCAR framework • Native package systems • Existing distributions • Management, system and applications • Keep the interface simple • Provide basic operations of cluster software and node administration • Enable others to re-use and extend system – deployment tool

  6. OSCAR overview • Simplifies installation, configuration and operation • Reduces time/learning curve for cluster build • Requires: pre-installed headnode with supported Linux distribution • Thereafter: wizard guides user through setup/install of entire cluster Framework for cluster management • Content: Software + Configuration, Tests, Docs • Types: • Core: SIS, C3, Switcher, ODA, OPD, APItest, Support Libs • Non-core: selected & third-party (PVM, LAM/MPI, Toque/Maui,...) • Access: repositories accessible via OPD/OPDer Package-based framework

  7. OSCAR packages • Simple way to wrap software & configuration • “Do you offer package Foo version X?” • Basic Design goals • Keep simple for package authors • Modular packaging (each self contained) • Timely release/updates • Leverage RPM + meta file + scripts, tests, docs, … • Recently extended to better support RPM, Debs, etc. • Repositories for downloading via OPD/OPDer

  8. OSCAR – Cluster Installation Wizard Start Step 1 Step 2 Step 8 Step 3 Done! Step 7 Cluster deployment monitor Step 4 Step 5 Step 6

  9. OSCAR components • SIS, C3, OPIUM, Kernel-Picker & cluster services (dhcp, nfs, ntp, ...) • Security: Pfilter, OpenSSH Administration/Configuration • Parallel Libs: MPICH, LAM/MPI, PVM, Open MPI • OpenPBS/MAUI, Torque, SGE • HDF5 • Ganglia, Clumon • Other 3rd party OSCAR Packages HPC Services/Tools Core Infrastructure/Management • System Installation Suite (SIS), Cluster Command & Control (C3), Env-Switcher • OSCAR DAtabase (ODA), OSCAR Package Downloader (OPD)

  10. C3 Power Tools • Command-line interface for cluster system administration and parallel user tools • Parallel execution cexec • Execute across a single cluster or multiple clusters at same time • Scatter/gather operations cpush / cget • Distribute or fetch files for all node(s)/cluster(s) • Used throughout OSCAR • mechanism for cluster wide operations

  11. Highlights • Improved distribution and architecture support • Node installation monitor • New network setup options and other GUI enhancements • “Use Your Own Kernel” (UYOK) for SystemImager • New OSCAR Packages: • Open MPI, SC3, SGE, YUME, NetbootMgr • Supported platforms: x86: fc4, fc5, mdv2006, rhel4, suse10.0 (tentative) x86_64: fc4, fc5, rhel4 OSCAR v5.0 • Diskless OSCAR & LiveCD • OSCAR on Debian (OoD) • OSCAR Command Line Interface (CLI) • Native package management – network installation In progress

  12. OSCAR: proven scalability Endeavor 232 nodes with 928 CPUs ORNL OIC 440 nodes with 880 CPUs McKenzie 264 nodes with 528 CPUs SUN-CLUSTER 128 nodes with 512 CPUs Cacau 205 nodes with 410 CPUs Barossa 184 nodes with 368 CPUs Smalley 66 nodes with 264 CPUs OSCAR-SSC 130 nodes with 130 CPUs Selected machines registered at OSCAR website Based on data taken on 11/2/2006: • OSCAR Cluster Registration Pagehttp://oscar.openclustergroup.org/cluster-register?sort=node_count • ORNL OIC User Guidehttp://oic.ornl.gov/ornlindex.html#architecture

  13. OSCAR OSCAR More OSCAR information… oscar.OpenClusterGroup.org Home Page Development Page svn.oscar.openclustergroup.org/trac/oscar oscar-users@lists.sourceforge.net oscar-devel@lists.sourceforge.net Mailing Lists Open Cluster Group www.OpenClusterGroup.org OSCAR Symposium www.csm.ornl.gov/oscar07 • OSCAR Research supported by the • Mathematics, Information and Computational Sciences Office, • Office of Advanced Scientific Computing Research, Office of Science, • U. S. Department of Energy, under contract No. DE-AC05-00OR22725 with UT-Battelle, LLC.

  14. OSCAR “flavors” SSS-OSCAR SSI-OSCAR NEC's OSCAR-Pro HA-OSCAR

  15. HA-OSCAR: RAS Management for HPC cluster: Self-Awareness • The first known field-grade open source HA Beowulf cluster release • Self-configuration Multi-head Beowulf system • HA and HPC clustering techniques to enable critical HPC infrastructure • Services:Active/Hot Standby • Self-healing with 3-5 sec automatic failover time

  16. NEC's OSCAR-Pro Presented at OSCAR'06 keynote by Erich Focht (NEC) • Leverage open source tool • Joined project / contributions to OSCAR core • Integrate additions when applicable • Feedback and direction based on user needs Commercial Enhancements

  17. Scalable System Software • Computer centers use incompatible, ad hoc set of systems tools • Tools are not designed to scale to multi-Teraflop systems • Duplication of work to try and scale tools • System growth vs. Administrator growth Problems • Define standard interfaces for system components • Create scalable, standardized management tools • (Subsequently) reduce costs & improve efficiency at centers Goals • DOE Labs: ORNL, ANL, LBNL, PNNL, SNL, LANL, Ames • Academics: NCSA, PSC, SDSC • Industry: IBM, Cray, Intel, SGI Participants

  18. SSS project overview Standardize the system interfaces Map out functional areas • Schedulers, job managers • System monitors • Accounting and user management • Checkpoint/restart • Build and configure systems • Open forum of universities, labs, industry representatives • Define component interfaces in XML • Develop communication infrastructure

  19. Components writtenin any mixture of C, C++, Java, Perl, and Python can be integrated into the Scalable Systems Software Suite Metamonitor Meta manager Meta scheduler Metaservices Node state manager Accounting Scheduler System and job monitor Service directory Node configuration and build manager Authentication Communication Standard XML interfaces Event manager Allocation management Job queue manager Hardware infrastructure manager Usage reports Beckerman_0611 Checkpoint restart Process manager

  20. SSS-OSCAR Components Queue/Job Manager Bamboo Berkeley Checkpoint/Restart BLCR Accounting & Allocation Management System Gold LAM/MPI (w/ BLCR) Checkpoint/Restart enabled MPI Job Scheduler MAUI-SSS • SSS Communication library • Includes: SD, EM, PM, BCM, NSM, NWI SSSLib Warehouse Distributed System Monitor MPD2 MPI Process Manager

  21. Single System Image Open Source Application Resources (SSI-OSCAR) • Easy use thanks to SSI systems • SMP illusion • High performance • Fault Tolerance • Easy management thanks to OCSAR • Automatic cluster install/update

  22. Contacts Stephen L. Scott Network and Cluster Computing Computer Science and Mathematics Division (865) 574-3144 scottsl@ornl.gov Thomas Naughton Network and Cluster Computing Computer Science and Mathematics Division (865) 576-4184 naughtont@ornl.gov • Geoffroy Vallée Network and Cluster Computing Computer Science and Mathematics Division • (865) 574-3152 • valleegr@ornl.gov Beckerman_0611 22 Scott_OSCAR_0611

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