|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:application
|
gptkb:DNA
gptkb:Fluid_dynamics
Machine learning
Materials science
Nuclear physics
Public health research
Quantum chemistry
Molecular dynamics
Seismic analysis
Energy exploration
Astrophysics simulations
Social science modeling
|
|
gptkbp:architecture
|
HPC (High Performance Computing)
|
|
gptkbp:collaboration
|
gptkb:Department_of_Energy
|
|
gptkbp:connects
|
gptkb:band
|
|
gptkbp:designed_by
|
gptkb:Lawrence_Livermore_National_Laboratory
gptkb:Oak_Ridge_National_Laboratory
gptkb:Argonne_National_Laboratory
|
|
gptkbp:funding
|
gptkb:U._S._Department_of_Energy
Research grants
National laboratories
|
|
gptkbp:has_ability
|
Parallel processing
|
|
gptkbp:has_units
|
GPU and CPU nodes
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Coral Supercomputers
|
|
gptkbp:impact
|
Collaboration across disciplines
Innovation in technology
Advancement of computational science
Accelerated research and development
|
|
gptkbp:is_scalable
|
Highly scalable architecture
|
|
gptkbp:launched_in
|
gptkb:2018
|
|
gptkbp:location
|
gptkb:United_States
|
|
gptkbp:maintenance
|
Regular updates
Hardware upgrades
Software patches
|
|
gptkbp:memory_type
|
DDR4
|
|
gptkbp:network
|
High-speed networking
|
|
gptkbp:operating_system
|
gptkb:Linux
|
|
gptkbp:performance
|
Exascale computing
|
|
gptkbp:power_consumption
|
High power efficiency
|
|
gptkbp:storage
|
High-performance storage systems
|
|
gptkbp:successor
|
gptkb:Titan_supercomputer
Blue Gene series
|
|
gptkbp:used_for
|
gptkb:Scientific_research
Weather modeling
Artificial intelligence research
Climate simulations
|
|
gptkbp:user_base
|
gptkb:engineers
gptkb:scientists
gptkb:researchers
Academics
Government agencies
Private sector companies
|
|
gptkbp:bfsParent
|
gptkb:Intel_Xeon_Phi
|
|
gptkbp:bfsLayer
|
6
|