Fugaku supercomputer
E320072
The Fugaku supercomputer is a Japanese exascale-class system that was ranked the world’s fastest supercomputer and is designed for large-scale simulations and advanced scientific research.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Fugaku supercomputer canonical | 2 |
| Fugaku | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3045236 — 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.
Target entity: Fugaku supercomputer Context triple: [RIKEN, notableProject, Fugaku supercomputer]
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A.
Earth Simulator supercomputer
The Earth Simulator supercomputer is a high-performance computing system in Japan designed primarily for large-scale simulations of climate, weather, and geophysical phenomena.
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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.
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C.
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.
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D.
Colossus computers
Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
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E.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Fugaku supercomputer Target entity description: The Fugaku supercomputer is a Japanese exascale-class system that was ranked the world’s fastest supercomputer and is designed for large-scale simulations and advanced scientific research.
-
A.
Earth Simulator supercomputer
The Earth Simulator supercomputer is a high-performance computing system in Japan designed primarily for large-scale simulations of climate, weather, and geophysical phenomena.
-
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.
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.
-
D.
Colossus computers
Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
-
E.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
exascale-class computer
ⓘ
petascale computer ⓘ supercomputer ⓘ |
| additionalAssistantCoresPerCPU | 4 ⓘ |
| applicationDomain |
COVID-19 research
ⓘ
climate modeling ⓘ disaster prevention ⓘ drug discovery ⓘ materials science ⓘ |
| architecture | ARM architecture ⓘ |
| city | Kobe ⓘ |
| continent | Asia ⓘ |
| country | Japan ⓘ |
| cpuCount | 158,976 ⓘ |
| developer |
Fujitsu Limited
ⓘ
surface form:
Fujitsu
RIKEN ⓘ
surface form:
Riken
|
| energyEfficiencyClass | high-performance computing ⓘ |
| firstReachedTop500Rank1 | June 2020 ⓘ |
| firstSystemToTopFourBenchmarks | yes ⓘ |
| fullOperationStart | 2021 ⓘ |
| fundingAgency |
Ministry of Education of Japan
ⓘ
surface form:
Ministry of Education, Culture, Sports, Science and Technology of Japan
|
| graph500Rank | 1 ⓘ |
| green500Rank | 1 ⓘ |
| hpcgRank | 1 ⓘ |
| interconnect | Tofu Interconnect D ⓘ |
| location |
RIKEN
ⓘ
surface form:
Riken Center for Computational Science
|
| nameOrigin | alternative name for Mount Fuji ⓘ |
| nodeCount | 158,976 ⓘ |
| operator |
RIKEN
ⓘ
surface form:
Riken
|
| os | custom Linux-based OS ⓘ |
| peakPerformanceRmax | 442 PFLOPS ⓘ |
| peakPerformanceRpeak | 513 PFLOPS ⓘ |
| prefecture | Hyogo Prefecture NERFINISHED ⓘ |
| preProductionUseStart | 2020 ⓘ |
| previousTopSystemDisplaced | Summit supercomputer ⓘ |
| primaryUse |
advanced scientific research
ⓘ
large-scale simulations ⓘ |
| processor | Fujitsu A64FX ⓘ |
| processorArchitecture |
ARMv8-A
ⓘ
surface form:
ARMv8.2-A
|
| processorCoreCountPerCPU | 48 ⓘ |
| processorExtension |
ARM SVE
ⓘ
surface form:
Scalable Vector Extension
|
| projectAnnouncementYear | 2014 ⓘ |
| sponsor |
Government of Japan
ⓘ
surface form:
Japanese government
|
| successorOf | K computer ⓘ |
| systemMemory | 4,866 TB ⓘ |
| top500List |
TOP500 list
ⓘ
surface form:
TOP500
|
| top500Rank | 1 ⓘ |
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.
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.
Subject: Fugaku supercomputer Description of subject: The Fugaku supercomputer is a Japanese exascale-class system that was ranked the world’s fastest supercomputer and is designed for large-scale simulations and advanced scientific research.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.