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  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: BeeGFS     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatDistributedFileSystems, within Data Space : dbpedia.org:8891 associated with source document(s)

Type: Thingsoftwareschema:CreativeWorkworkwikidata:Q386724Softwareyago:WikicatComputerFileSystemsyago:WikicatLinuxKernel-supportedDistributedFileSystemsyago:WikicatNetworkFileSystemsyago:Abstraction100002137yago:Arrangement105726596yago:ClassificationSystem105727220yago:Code106355894yago:CodingSystem106353757yago:Cognition100023271yago:Communication100033020yago:FileSystem105732614yago:PsychologicalFeature100023100yago:Writing106359877yago:WrittenCommunication106349220yago:Software106566077yago:Structure105726345yago:WikicatDistributedFileSystems New Facet based on Instances of this Class

BeeGFS (formerly FhGFS) is a parallel file system, developed and optimized for high-performance computing. BeeGFS includes a distributed metadata architecture for scalability and flexibility reasons. Its most used and widely known aspect is data throughput. BeeGFS was originally developed at the Fraunhofer Center for High Performance Computing in Germany by a team around Sven Breuner, who later became the CEO of ThinkParQ (2014 - 2018), the spin-off company that was founded in 2014 to maintain BeeGFS and offer professional services.