Sequoia supercomputer
E911546
The Sequoia supercomputer is a massively parallel IBM Blue Gene/Q system that was once among the world’s fastest supercomputers, used primarily for nuclear weapons simulations and advanced scientific research at Lawrence Livermore National Laboratory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sequoia supercomputer canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11181149 — 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: Sequoia supercomputer Context triple: [High-Performance Computing Center at Lawrence Livermore National Laboratory, hostedSystem, Sequoia supercomputer]
-
A.
Sierra supercomputer
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.
-
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.
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.
-
D.
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.
-
E.
Delta supercomputer
The Delta supercomputer is a high-performance computing system at the National Center for Supercomputing Applications designed to support advanced scientific research and data-intensive workloads.
- 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: Sequoia supercomputer Target entity description: The Sequoia supercomputer is a massively parallel IBM Blue Gene/Q system that was once among the world’s fastest supercomputers, used primarily for nuclear weapons simulations and advanced scientific research at Lawrence Livermore National Laboratory.
-
A.
Sierra supercomputer
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.
-
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.
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.
-
D.
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.
-
E.
Delta supercomputer
The Delta supercomputer is a high-performance computing system at the National Center for Supercomputing Applications designed to support advanced scientific research and data-intensive workloads.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
IBM Blue Gene/Q system
ⓘ
supercomputer ⓘ |
| basedOnArchitecture | Blue Gene/Q NERFINISHED ⓘ |
| becameOperationalYear | 2012 ⓘ |
| commissionedBy | National Nuclear Security Administration NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| dateAchievedTopRank | June 2012 ⓘ |
| energyEfficiencyFocus | Yes ⓘ |
| fileSystemType | Lustre parallel file system ⓘ |
| installationStartYear | 2011 ⓘ |
| interconnectType | 5D torus network ⓘ |
| linpackPerformancePFLOPS | about 16.3 ⓘ |
| linpackPerformanceTFLOPS | about 16,300 ⓘ |
| locatedInCity | Livermore, California NERFINISHED ⓘ |
| locatedInCountry |
United States of America
ⓘ
surface form:
United States
|
| locatedInFacility | Lawrence Livermore National Laboratory NERFINISHED ⓘ |
| manufacturer | IBM NERFINISHED ⓘ |
| memoryPerNodeGB | 16 ⓘ |
| notableFor |
leadership-class performance for nuclear simulation
ⓘ
massively parallel architecture ⓘ |
| numberOfComputeNodes | 98,304 GENERATED ⓘ |
| numberOfProcessorCores | 1,572,864 GENERATED ⓘ |
| operatedBy | Lawrence Livermore National Laboratory NERFINISHED ⓘ |
| operatingSystem |
IBM Blue Gene/Q system software
NERFINISHED
ⓘ
Linux ⓘ |
| owner | U.S. Department of Energy NERFINISHED ⓘ |
| partOfSeries | Blue Gene family NERFINISHED ⓘ |
| powerUsageMW | on the order of 6 ⓘ |
| predecessor | Dawn supercomputer NERFINISHED ⓘ |
| primaryUse | nuclear weapons simulations ⓘ |
| processorClockSpeedGHz | 1.6 ⓘ |
| processorType | IBM PowerPC A2 NERFINISHED ⓘ |
| project | Advanced Simulation and Computing Program NERFINISHED ⓘ |
| rankedInTop500 | Yes ⓘ |
| roomFootprintSquareFeet | about 3,000 ⓘ |
| statusIn2012 | world’s fastest supercomputer ⓘ |
| successor | Sierra supercomputer NERFINISHED ⓘ |
| systemVendor | IBM NERFINISHED ⓘ |
| theoreticalPeakPFLOPS | about 20.1 ⓘ |
| top500List | TOP500 NERFINISHED ⓘ |
| top500PeakRank | 1 ⓘ |
| totalSystemMemoryTB | about 1,572 ⓘ |
| use |
advanced scientific research
ⓘ
astrophysics simulations ⓘ climate and earth system modeling ⓘ hydrodynamics simulations ⓘ materials science simulations ⓘ national security applications ⓘ stockpile stewardship ⓘ |
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: Sequoia supercomputer Description of subject: The Sequoia supercomputer is a massively parallel IBM Blue Gene/Q system that was once among the world’s fastest supercomputers, used primarily for nuclear weapons simulations and advanced scientific research at Lawrence Livermore National Laboratory.
Referenced by (1)
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