BlueGene/Q supercomputer
E911547
The BlueGene/Q supercomputer is IBM’s massively parallel, energy-efficient petascale system that powered several of the world’s fastest scientific computing installations in the early 2010s.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Blue Gene/Q | 1 |
| BlueGene/Q supercomputer canonical | 1 |
| IBM Blue Gene | 1 |
| IBM Blue Gene/Q system software | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11181151 — 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: BlueGene/Q supercomputer Context triple: [High-Performance Computing Center at Lawrence Livermore National Laboratory, hostedSystem, BlueGene/Q supercomputer]
-
A.
BlueGene/L supercomputer
The BlueGene/L supercomputer was an IBM-built, massively parallel system that led the TOP500 rankings in the mid-2000s and was renowned for its exceptional performance and energy efficiency in scientific computing.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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: BlueGene/Q supercomputer Target entity description: The BlueGene/Q supercomputer is IBM’s massively parallel, energy-efficient petascale system that powered several of the world’s fastest scientific computing installations in the early 2010s.
-
A.
BlueGene/L supercomputer
The BlueGene/L supercomputer was an IBM-built, massively parallel system that led the TOP500 rankings in the mid-2000s and was renowned for its exceptional performance and energy efficiency in scientific computing.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
massively parallel system
ⓘ
supercomputer architecture ⓘ |
| applicationDomain |
climate modeling
ⓘ
computational chemistry ⓘ computational physics ⓘ nuclear weapons simulation ⓘ scientific computing ⓘ |
| architectureGeneration | third generation Blue Gene ⓘ |
| clockFrequency | 1.6 GHz ⓘ |
| designGoal |
high energy efficiency
ⓘ
petascale performance ⓘ |
| developer | IBM ⓘ |
| green500Rank | Sequoia ranked near top of Green500 in 2012 ⓘ |
| interconnectType | custom high-speed interconnect ⓘ |
| launchDate | early 2010s ⓘ |
| locationOfMajorInstallation |
Argonne National Laboratory
ⓘ
CINECA ⓘ Forschungszentrum Jülich ⓘ Lawrence Livermore National Laboratory ⓘ Lawrence Livermore National Laboratory Sequoia system ⓘ
linked to:
Sequoia supercomputer
|
| mainMemoryPerNode | 16 GB DDR3 ⓘ |
| networkTopology | 5D torus ⓘ |
| notableFeature |
hardware support for transactional memory in A2 cores
ⓘ
high node density ⓘ low power consumption per FLOP ⓘ |
| operatingSystem |
CNK compute node kernel
ⓘ
linked to:
CNK
Linux ⓘ |
| partOfSeries |
IBM Blue Gene
ⓘ
linked to:
BlueGene/Q supercomputer
|
| peakPerformance | 20 petaflops theoretical peak for Sequoia installation ⓘ |
| powerEfficiency | about 2 GFLOPS per watt at system level ⓘ |
| predecessor | BlueGene/P ⓘ |
| processorCoresPerChip |
1 I/O core
ⓘ
1 spare core ⓘ 16 compute cores ⓘ 18 ⓘ |
| processorType | IBM PowerPC A2 ⓘ |
| programmingLanguageSupport |
C
ⓘ
C++ ⓘ Fortran ⓘ |
| programmingModel |
MPI
ⓘ
OpenMP ⓘ |
| simultaneousMultithreading | 4-way SMT per core ⓘ |
| successor | IBM Summit ⓘ |
| top500Rank |
Mira ranked #3 in November 2012 TOP500 list
ⓘ
Sequoia ranked #1 in June 2012 TOP500 list ⓘ |
| usedIn |
FERMI supercomputer
ⓘ
JUQUEEN supercomputer ⓘ Mira supercomputer ⓘ
linked to:
Sequoia supercomputer
Sequoia supercomputer ⓘ SuperMUC Phase 1 iDataPlex extension components ⓘ Vulcan supercomputer ⓘ
linked to:
Sequoia supercomputer
|
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: BlueGene/Q supercomputer Description of subject: The BlueGene/Q supercomputer is IBM’s massively parallel, energy-efficient petascale system that powered several of the world’s fastest scientific computing installations in the early 2010s.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
High-Performance Computing Center at Lawrence Livermore National Laboratory
→
hostedSystem
→
BlueGene/Q supercomputer
ⓘ
subject linked to:
High‑Performance Computing Center
subject linked to:
Sequoia supercomputer
linked to: BlueGene/Q supercomputer
subject linked to:
Sequoia supercomputer
linked to: BlueGene/Q supercomputer
subject linked to:
BlueGene/Q supercomputer
linked to: BlueGene/Q supercomputer