Sierra supercomputer
E910070
The Sierra supercomputer is a powerful GPU-accelerated system used primarily by the U.S. National Nuclear Security Administration for advanced simulations related to nuclear stockpile stewardship and national security.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Lawrence Livermore National Laboratory computing facilities | 1 |
| Sierra supercomputer canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11181148 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra supercomputer Context triple: [High-Performance Computing Center at Lawrence Livermore National Laboratory, hostedSystem, Sierra supercomputer]
-
A.
Frontera supercomputer
The Frontera supercomputer is a leadership-class high-performance computing system in the United States, designed to support cutting-edge academic and scientific research across a wide range of disciplines.
-
B.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
-
C.
Cray XK7
Cray XK7 is a high-performance supercomputer architecture developed by Cray Inc., notable for combining traditional CPUs with GPU accelerators to achieve petascale computing power.
-
D.
Frontier supercomputer
The Frontier supercomputer is a cutting-edge exascale computing system recognized as one of the world’s fastest and most powerful scientific research machines.
-
E.
IBM Roadrunner supercomputer
The IBM Roadrunner supercomputer was a pioneering petascale system that combined Cell Broadband Engine and x86 processors to become the first computer to sustain over one petaflop of performance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sierra supercomputer Target entity description: The Sierra supercomputer is a powerful GPU-accelerated system used primarily by the U.S. National Nuclear Security Administration for advanced simulations related to nuclear stockpile stewardship and national security.
-
A.
Frontera supercomputer
The Frontera supercomputer is a leadership-class high-performance computing system in the United States, designed to support cutting-edge academic and scientific research across a wide range of disciplines.
-
B.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
-
C.
Cray XK7
Cray XK7 is a high-performance supercomputer architecture developed by Cray Inc., notable for combining traditional CPUs with GPU accelerators to achieve petascale computing power.
-
D.
Frontier supercomputer
The Frontier supercomputer is a cutting-edge exascale computing system recognized as one of the world’s fastest and most powerful scientific research machines.
-
E.
IBM Roadrunner supercomputer
The IBM Roadrunner supercomputer was a pioneering petascale system that combined Cell Broadband Engine and x86 processors to become the first computer to sustain over one petaflop of performance.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
GPU-accelerated supercomputer
ⓘ
supercomputer ⓘ |
| acceleratorType | GPU ⓘ |
| agency | National Nuclear Security Administration NERFINISHED ⓘ |
| architecture | IBM Power Systems AC922 NERFINISHED ⓘ |
| city | Livermore, California NERFINISHED ⓘ |
| commissioned | 2018 ⓘ |
| cooling | liquid cooling ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| CPUModel | IBM Power9 NERFINISHED ⓘ |
| CPUPerNode | 2 IBM Power9 processors ⓘ |
| designSimilarity | Summit supercomputer at Oak Ridge National Laboratory NERFINISHED ⓘ |
| energyEfficiencyList | Green500 NERFINISHED ⓘ |
| fundingAgency | U.S. Department of Energy NERFINISHED ⓘ |
| GPUModel | NVIDIA Tesla V100 NERFINISHED ⓘ |
| GPUPerNode | 4 NVIDIA Tesla V100 GPUs ⓘ |
| installationStart | 2017 ⓘ |
| interconnect | Mellanox EDR InfiniBand NERFINISHED ⓘ |
| LINPACKPerformancePFLOPS | 94.6 ⓘ |
| LINPACKPerformanceUnit | petaflops ⓘ |
| location | Lawrence Livermore National Laboratory NERFINISHED ⓘ |
| memoryType |
DDR4
ⓘ
High Bandwidth Memory (HBM2 on GPUs) ⓘ |
| nodeCount | ~4600 ⓘ |
| operator |
Lawrence Livermore National Laboratory
NERFINISHED
ⓘ
National Nuclear Security Administration NERFINISHED ⓘ |
| organization | Lawrence Livermore National Laboratory NERFINISHED ⓘ |
| OS | Linux NERFINISHED ⓘ |
| peakPerformancePFLOPS | 125 ⓘ |
| peakPerformanceTFLOPS | 125000 ⓘ |
| peakPerformanceUnit | teraflops ⓘ |
| powerSource | electrical grid ⓘ |
| primaryUse |
advanced physics simulations
ⓘ
national security simulations ⓘ nuclear stockpile stewardship simulations ⓘ |
| program | Advanced Simulation and Computing Program NERFINISHED ⓘ |
| purpose | support Stockpile Stewardship Program ⓘ |
| relatedSystem | Summit supercomputer NERFINISHED ⓘ |
| securityDomain | classified computing ⓘ |
| status | operational ⓘ |
| systemType | heterogeneous CPU-GPU system ⓘ |
| systemVendor |
IBM
NERFINISHED
ⓘ
NVIDIA NERFINISHED ⓘ |
| top500CountryRank | fastest supercomputer in the United States (June 2018) ⓘ |
| top500List | June 2018 ⓘ |
| top500Rank | 2 ⓘ |
| useCase |
3D weapon physics simulations
ⓘ
hydrodynamics modeling ⓘ materials science simulations ⓘ uncertainty quantification ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Sierra supercomputer Description of subject: The Sierra supercomputer is a powerful GPU-accelerated system used primarily by the U.S. National Nuclear Security Administration for advanced simulations related to nuclear stockpile stewardship and national security.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
High-Performance Computing Center at Lawrence Livermore National Laboratory
this entity surface form:
Lawrence Livermore National Laboratory computing facilities