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X10 is a programming language being developed by IBM at the Thomas J. Watson Research Center as part of the Productive, Easy-to-use, Reliable Computing System (PERCS) project funded by DARPA's High Productivity Computing Systems (HPCS) program.
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Explore the main themes, entities and connections around X10 (programming language). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| X10 (programming language) | Designed by | Kemal Ebcioğlu, Saravanan Arumugam, Vijay Saraswat, and Vivek Sarkar | 1.00 | infobox |
| X10 (programming language) | Developer | IBM | 1.00 | infobox |
| X10 (programming language) | Filename extensions | .x10 | 1.00 | infobox |
| X10 (programming language) | First appeared | 2004; 22 years ago (2004) | 1.00 | infobox |
| X10 (programming language) | License | Eclipse Public License 1.0 | 1.00 | infobox |
| X10 (programming language) | OS | AIX, Linux, macOS, Windows | 1.00 | infobox |
| X10 (programming language) | Paradigm | Object-oriented | 1.00 | infobox |
| X10 (programming language) | Stable release | 2.6.2 / January 8, 2019; 7 years ago (2019-01-08) | 1.00 | infobox |
| X10 (programming language) | Typing discipline | Static, strong, safe, constrained | 1.00 | infobox |
| X10 (programming language) | Website | x10-lang.org | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.