GPFS und HPSS am HLRS

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1 GPFS und HPSS am HLRS Peter W. Haas Archivierung im Bereich Höchstleistungsrechner Swisstopo, Bern 3. Juli High Performance Computing Center Stuttgart

2 Table of Contents 1. What are GPFS and HPSS Conceptual Architecture of GPFS and HPSS Operation of distributed Infrastructures 2. What is GPFS/HPSS Co-Location of LAN and SAN Services GPFS/HPSS Configuration at HLRS 3. Information Life Cycle Management (ILM) ILM Rule-driven Automigration and Stageback Operational Concepts for Backup and Restore 4. Using HPSS with other Disk File Systems The Terascale Workbench at HLRS Potential Interfaces towards other File Systems 2 High Performance Computing Center Stuttgart

3 What are GPFS and HPSS 3 High Performance Computing Center Stuttgart

4 What are GPFS and HPSS Both GPFS and HPSS are... Cluster file systems supporting large numbers of storage devices Parallel Storage software designed for file sharing Used in heterogenous distributed HPC environments GPFS is the General Parallel File System File system optimized for high performance dynamic storage Metadata architecture optimized for very low latency Supports multiple types and uses of disks organized into pools A commercial product developed and supported by IBM HPSS is the High Performance Storage System Storage software optimized for long term file retention and rapid staging Metadata architecture optimized for robust operation and rapid recovery Supports disk and tape (or tape only) organized into storage classes A collaborative product developed by five DOE laboratories and IBM that is sold with a Service Subscription by IBM 4 High Performance Computing Center Stuttgart

5 Conceptual Architectures of GPFS & HPSS HPSS HPSS Core Core Server Server GPFS GPFS NSD NSD Nodes Nodes Client Cluster HPSS HPSS Movers Movers GPFS Disk Arrays GPFS Cluster HPSS Disk Arrays HPSS Tape Libraries HPSS Cluster 5 High Performance Computing Center Stuttgart

6 General Parallel File System (GPFS) Cluster: nodes, fast reliable communication, common admin domain. Shared disk: all data and metadata on disk accessible from any node. Parallel: data and metadata flow to/from all nodes from/to all disks in parallel; files striped across all disks. In the classic LAN configuration, some GPFS nodes are configured as network storage devices (NSDs) that function as data servers, moving data over an IP LAN GPFS NSD Server SAN (FC, Infiniband, etc.) IP Data LAN (10 GigE, etc.) Node Interconnect Fabric GPFS NSD Server Compute Node GPFS GPFS NSD Server Compute Node GPFS Compute Node GPFS GPFS NSD Server Compute Node GPFS GPFS Disk Compute Node GPFS GPFS Disk Compute Node GPFS GPFS Disk Compute Node GPFS GPFS Disk Compute Node GPFS 6 High Performance Computing Center Stuttgart

7 HPSS Network-centric parallel HSM (1) 7 High Performance Computing Center Stuttgart

8 HPSS Network-centric parallel HSM (2) HPSS is a cluster hierarchical storage system 5 levels of disk and tape Multiple configurable classes of service DB2 metadata engine assures reliability and quick recovery Cluster architecture and metadata architecture support horizontal scaling to: 100s of petabytes 100s of millions of files Gbyte/s data rates All in a single system Supports technology insertion Add new components, no need to replace Mix and match vendors and models AIX, Linux, IRIX, Solaris HPSS Cluster Architecture Client Cluster Disk Arrays LAN SAN Core Server DB2 Metadata Backup Core Server Mover Cluster Robotic Tape Libraries 8 High Performance Computing Center Stuttgart

9 What is GPFS/HPSS GPFS/HPSS is a collaborative project to develop synergy between IBM s General Parallel File System and the HPSS Collaboration s High Performance Storage System Goals Extend GPFS pool concept to tape and other long term storage Use the GPFS rule-based ILM to centralize ILM administration Provide backup for GPFS that makes effective use of ongoing file migration to tape under ILM control Participants HPSS Collaboration member NERSC/Lawrence Berkeley Lab IBM Research, Almaden Lab IBM GPFS Product Development in Poughkeepsie NY IBM HPSS Development and Support in Houston TX Status Ongoing work demonstrated at 8 th HLRS Workshop on SGPFS 2009 Expect test release general availability by July High Performance Computing Center Stuttgart

10 GPFS/HPSS LAN Configuration IP Control and Data LAN (10 GigE, etc.) GPFS NSD Server GPFS NSD Server GPFS NSD Server GPFS NSD Server GPFS Disk GPFS Disk GPFS Disk GPFS Disk Node Interconnect Fabric Compute Node Compute Node Compute Node Compute Node GPFS HPSS I/F GPFS HPSS I/F GPFS HPSS I/F GPFS HPSS I/F HPSS Core Server HPSS Mover HPSS Mover HPSS Mover Tape Library Tape Library HPSS Disk (optional) HPSS Disk (optional) SAN, GPFS zone SAN, HPSS zone HPSS and GPFS may be used together for total storage ILM GPFS NSD Servers and HPSS Movers may be installed on the same physical nodes HPSS can be can be configured with disks or for direct access to tape 10 High Performance Computing Center Stuttgart

11 GFPS/HPSS LAN/SAN Configuration Swisstopo - Geodaten, 3. Juli 2009 Peter W. Haas 11 High Performance Computing Center Stuttgart

12 Information Life Cycle Management (ILM) 12 High Performance Computing Center Stuttgart

13 ILM Management Actions Swisstopo - Geodaten, 3. Juli 2009 Peter W. Haas 13 High Performance Computing Center Stuttgart

14 HPSS Configuration at HLRS 14 High Performance Computing Center Stuttgart

15 HLRS Distributed Computer Configuration Global File System NEC SX-6 (48) NEC SX-8 (576) VR Cave Ulm DALCO Viz-Cluster Opteron (64) Stuttgart IBM HSM 3 PB NEC Asama (64) IBM Cell SUN Fire 2900 (48x2) IBM x3755 (144x2) Cray XT5+XD1 (480) NEC Nehalem (1400 x 4) IBM (2800x4) 15 High Performance Computing Center Stuttgart

16 Teraflop Workbench Configuration IA64 SMP Cluster Vector SMP Cluster PC Cluster SAN Integrated workbench for preprocessing, simulation, postprocessing and vizualisation Choose the best platform for each task Global Parallel File Systems: IBM GPFS, Lustre, HPSS Avoid file copies in distributed processing environments HP-CAST Peter W. Haas 16 High Performance Computing Center Stuttgart

17 Demonstration in the HLRS-Cave Optimization of geometry in a radial water turbine using Virtual Reality and online flow simulation HP-CAST Peter W. Haas 17 High Performance Computing Center Stuttgart

18 HP-CAST Peter W. Haas 18 High Performance Computing Center Stuttgart

19 Thank you very much for your attention! Special thanks are due to: Julie Schaefer, IBM Houston Pat Schaefer, IBM Houston Benny Wilbanks, IBM Houston Dr. Roger Haskin, Almaden Research Center Bob Coyne, Exec HPSS Collaboration Harry Hulen, HPSS Collaboration Dr. Richard Watson, Lawrence Livermore Laboratory 19 High Performance Computing Center Stuttgart

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