PDF-A New Generation of Lustre Software Expands High Performance

Computing into the Commercial Enterprise Around the world and across all industries highperformance computing is being used to solve today146s most important and demanding problems More than e. Antipatterns. challenges: how to get rid of worms before contaminating the apple? . Catia. . Trubiani. Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica (DISIM),. University of L’Aquila, Italy. Blake Caldwell. National Center for . Computation Sciences. April 25, 2012. LUG . 2012 – Austin, TX. What’s different at scale?. What we expect:. O. verhead in administering more nodes. More frequent failures and new failure modes. Lustre. Performance Using Stripe-Aware Tools. Paul Kolano. NASA Advanced Supercomputing Division . paul.kolano@nasa.gov. Introduction. Lustre. has great performance.... ...If you know how to use it. Eric Barton. Lead Engineer, Lustre Group. <Insert Picture Here>. Lustre Development. Agenda. Engineering. Improving stability. Sustaining innovation. Development. Scaling and performance. Ldiskfs and DMU. 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). ®. . Core™ . v. Pro. ™ . Processor. The Business . C. ase. [Presenter:]. [Title:]. [Date:]. Presentation Notes. Usage guidelines:. This presentation is designed to help you make a compelling business case for incorporating 3rd Generation . 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 . 22.8.2011. StyledTextEditor. Rich Text . Editing. . for. Cuis. Idea. & . Funding. . by. Bernhard Pieber. Implementation . by. Juan . Vuletich. Bernhard Pieber Software Generation |. . 22.8.2011. John Spray. Whamcloud. , Inc.. 0.4. Chroma is one of several management platforms being developed for Lustre. .. These platforms are quite different, but all share the same interface to the underlying filesystem.. use cases . in . the TSUBAME2.0 supercomputer. Tokyo Institute of Technology. Dr. Hitoshi Sato. Outline. Introduction of the TSUBAME2.0 Supercomputer. Overview of . TSUBAME2.0 Storage Architecture. F.Wang. 1. , . Y.Chen. 1. , . S.Li. 1. ,. F.Yang. 1, . 3. , B.J.Xiao. 1, 2.  . 1. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China. 2. School of nuclear science and technology, University of Science and Technology of China. Lead Engineer, Lustre Group. <Insert Picture Here>. Lustre Development. Agenda. Engineering. Improving stability. Sustaining innovation. Development. Scaling and performance. Ldiskfs and DMU. Research. 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. JUNE 9 - 12, 2020. BERKELEY, CALIFORNIA. Hosted by LBNL/NERSC,. UC Berkeley Research IT,. and OpenSFS. NERSC's Perlmutter System:. Deploying 30 PB of all-. NVMe. Lustre at scale. Glenn K. . Lockwood.