PPT-Lustre
Author : luanne-stotts | Published Date : 2017-05-15
use cases in the TSUBAME20 supercomputer Tokyo Institute of Technology Dr Hitoshi Sato Outline Introduction of the TSUBAME20 Supercomputer Overview of TSUBAME20
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Lustre: Transcript
use cases in the TSUBAME20 supercomputer Tokyo Institute of Technology Dr Hitoshi Sato Outline Introduction of the TSUBAME20 Supercomputer Overview of TSUBAME20 Storage Architecture. IOZone. Root Benchmark. How well do VM clients perform vs. Bare Metal clients. ?. Bare Metal Reads are (~10%) faster than VM Reads.. Bare Metal Writes are (~5%) faster than VM Writes. .. Note. : results vary depending on the overall system conditions (net, storage, etc.). Workshop Jan 12-15, . 2015. Amit H. Kumar. Southern Methodist University. General use cases for different file systems. $HOME. To store your programs, scripts etc. . Compile your programs here. . Please DO NOT RUN jobs from $HOME, use $SCRATCH instead . Lustre. with SRP-Mirrored LUNs. UF HPC Center. Research Computing. University of Florida. HA . Lustre. Design Goals. Minimize Cost per TB. Maximize Availability. Good Performance (within cost constraints). Cluster File Systems, Inc. Abstract: Today's network-oriented computing environments require high-performance, network-aware file systems that can satisfy both the data storage requirements of indiv Computing into the Commercial Enterprise Around the world and across all industries, high-performance computing is being used to solve todays most important and demanding problems. More than e AgendaWhat is NCIPetascaleHPC at NCI (RaijinLustreat NCILustreon RaijinSitewide LustreJob Aware FilesystemMonitoringSchedulerWorkloadsChallengesMonitoringLinking IO activity to specific jobs WHAT IS N FermiCloud. (to be integrated with master slides). Grid Developers Use of clouds. Storage Investigation. OSG Storage . Test . B. ed. MCAS . P. roduction . S. ystem. Development . VM. OSG . User . Support. March 15 – 18, 2015 #OFADevWorkshop. 1. Markets. HPC. Well established. Enterprise. Large Scale Data Analytics (i.e. Oil & Gas). Big Data -> . Hadoop. GEOMATERIALS AND . PROCESSES. Practical: Minerals. … is a naturally occurring, solid, with highly ordered atomic arrangement, homogeneous chemical composition.. Minerals are formed by inorganic processes. Lead Engineer, Lustre Group. <Insert Picture Here>. Lustre Development. Agenda. Engineering. Improving stability. Sustaining innovation. Development. Scaling and performance. Ldiskfs and DMU. Research. , Shane Cannon, Lisa Gerhardt. , . Rei. Lee, Mustafa . Mustafa and others . @. NERSC. . Berkeley Lab (LBNL). Enabling production HEP workflows on Supercomputers at . NERSC. CHEP . 2018. July 9. th. The fork in the road. Lustre. upstream client. EMC started the work spring 2013. Based on . Lustre. commit faefbfc03 (~ 2.4 version). No new features added. Most patches address style issues. Removed wrappers. Fermilab. Lustre Features. Shared POSIX file system. Key Characteristics. Aggregates many servers into one file system. Scales I/O throughput and capacity. Handles 10,000’s of clients. Built-in storage networking, including routing. (Nonprofit, User Group, “CO-OP,” User Community, Mutual Benefit Corp). (. OpenSFS. ) – Status Update. www.opensfs.org. Norman Morse. President, CEO. n. orman.morse@opensfs.org. 07 September 2011.
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