|
gptkbp:instanceOf
|
mainframe computer
|
|
gptkbp:architecture
|
gptkb:IBM_Power9_CPUs
gptkb:NVIDIA_Tesla_V100_GPUs
|
|
gptkbp:commissioned
|
2018
|
|
gptkbp:connects
|
gptkb:Mellanox_EDR_InfiniBand
|
|
gptkbp:country
|
gptkb:United_States
|
|
gptkbp:CPUsPerNode
|
2 IBM Power9
|
|
gptkbp:energyEfficiency
|
12.1 gigaflops/watt
|
|
gptkbp:fundedBy
|
gptkb:U.S._Department_of_Energy
|
|
gptkbp:GPUsPerNode
|
4 NVIDIA Tesla V100
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Sierra supercomputer
|
|
gptkbp:locatedIn
|
gptkb:Lawrence_Livermore_National_Laboratory
|
|
gptkbp:manufacturer
|
gptkb:IBM
|
|
gptkbp:nodes
|
4,320
|
|
gptkbp:operatedBy
|
gptkb:Lawrence_Livermore_National_Laboratory
|
|
gptkbp:operatingSystem
|
gptkb:Red_Hat_Enterprise_Linux
|
|
gptkbp:performanceContext
|
125 petaflops
|
|
gptkbp:purpose
|
nuclear weapons simulations
stockpile stewardship
|
|
gptkbp:RAM
|
1.38 petabytes
|
|
gptkbp:rank
|
gptkb:TOP500_#2_(November_2018)
gptkb:TOP500_#3_(June_2018)
|
|
gptkbp:relatedTo
|
gptkb:Summit_supercomputer
|
|
gptkbp:totalCPUs
|
8,640
|
|
gptkbp:totalGPUs
|
17,280
|
|
gptkbp:usedFor
|
scientific research
classified simulations
|
|
gptkbp:bfsParent
|
gptkb:IBM_POWER9
gptkb:Livermore_Computing_Complex
|
|
gptkbp:bfsLayer
|
5
|