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Aurora is an exascale supercomputer that was sponsored by the United States Department of Energy (DOE) and designed by Intel and Cray for Argonne National Laboratory. It was briefly the second fastest supercomputer in the world from November 2023 to June 2024.
The analysis highlights History, Measurement and Art as prominent areas in the source structure around Aurora (supercomputer).
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Aurora (supercomputer) shows recurring relationship patterns in the source. For example, Aurora (supercomputer) → Deployment: Nov, 2023 Another extracted example is Aurora (supercomputer) → US$500 million (est.). Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
aurora supercomputer intel argonne exascale would doe department energy national laboratory mw power 2023 june us 500 top500 united states
TTTA extracted 9 structured relationships around Aurora (supercomputer). Examples in this analysis include Aurora (supercomputer) → Active → Deployment: Nov, 2023 and Aurora (supercomputer) → Cost → US$500 million (est.). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Aurora (supercomputer) | Active | Deployment: Nov, 2023 | 1.00 | infobox |
| Aurora (supercomputer) | Cost | US$500 million (est.) | 1.00 | infobox |
| Aurora (supercomputer) | Location | Argonne Leadership Computing Facility | 1.00 | infobox |
| Aurora (supercomputer) | Operators | Argonne National Laboratory and U.S. Department of Energy | 1.00 | infobox |
| Aurora (supercomputer) | Power | 38.7 MW | 1.00 | infobox |
| Aurora (supercomputer) | Purpose | Scientific research and development | 1.00 | infobox |
| Aurora (supercomputer) | Ranking | TOP500: 3, June 2025 | 1.00 | infobox |
| Aurora (supercomputer) | Speed | 1.012 exaFLOPS (Rmax) / 1.98 exaFLOPS (Rpeak) | 1.00 | infobox |
| Aurora (supercomputer) | Website | www.anl.gov/aurora | 1.00 | infobox |
The concept neighborhoods around Aurora (supercomputer) bring nearby vocabulary together. In this analysis, examples include Intel, States and United. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Aurora (supercomputer), one of the stronger structural bridges in this analysis connects Aurora (supercomputer) with Usage. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Aurora (supercomputer) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Aurora (supercomputer) · EN edition · Analysis: TopicsToTalkAbout