high performance computing (HPC)
GPTKB entity
Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
computing paradigm
|
| gptkbp:abbreviation |
gptkb:HPC
|
| gptkbp:challenge |
gptkb:security
energy efficiency cost scalability fault tolerance system integration data movement software optimization |
| gptkbp:enables |
gptkb:artificial_intelligence
gptkb:machine_learning climate modeling computational fluid dynamics genomics scientific research weather forecasting data analytics engineering simulations financial modeling molecular modeling big data processing seismic analysis nuclear simulations astronomical simulations |
| gptkbp:focusesOn |
solving complex computational problems
|
| gptkbp:goal |
solve large-scale problems
maximize computational throughput minimize execution time |
| https://www.w3.org/2000/01/rdf-schema#label |
high performance computing (HPC)
|
| gptkbp:measures |
floating point operations per second (FLOPS)
|
| gptkbp:relatedTo |
cloud computing
distributed computing grid computing exascale computing |
| gptkbp:requires |
specialized software
energy management parallel processing high-speed interconnects large-scale storage efficient cooling systems |
| gptkbp:usedBy |
gptkb:government_agency
gptkb:industry universities national laboratories |
| gptkbp:uses |
gptkb:Lustre_file_system
gptkb:Ethernet gptkb:CUDA gptkb:Grid_Engine gptkb:InfiniBand gptkb:Linux_operating_system gptkb:BeeGFS gptkb:OpenMP supercomputers batch processing GPUs computer clusters high-speed networking parallel file systems resource managers message passing interface (MPI) GPFS (IBM Spectrum Scale) PBS (Portable Batch System) Slurm workload manager high-capacity memory job schedulers |
| gptkbp:bfsParent |
gptkb:Multi-Instance_GPU_(MIG)
|
| gptkbp:bfsLayer |
7
|