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A concurrent hash-trie or Ctrie is a concurrent thread-safe lock-free implementation of a hash array mapped trie. It is used to implement the concurrent map abstraction. It has particularly scalable concurrent insert and remove operations and is memory-efficient. It is the first known concurrent data-structure that supports O(1), atomic, lock-free snapshots.
History & Art
Explore the main themes, entities and connections around Ctrie. 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.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
concurrent operation ctries lock-free implementation trie operations hash used node array memory insert data-structure data nodes available level remove atomic
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ctrie | is a | concurrent thread-safe lock-free implementation of a hash array mapped trie | 0.90 | text |
| Ctrie | is a | Common Lisp implementation available on GitHub.An insert-only Ctrie variant has been used for tabling in Prolog programs.Go implementation is available as a standalone packageA… | 0.90 | text |
| Ctrie | is a | non-blocking concurrent shared-memory hash trie based on single-word compare-and-swap instructions | 0.90 | text |
| Ctrie | related to Advantages of Ctries | Ctries | 0.60 | section |
| Ctrie | related to Advantages of Ctries | However | 0.60 | section |
| Ctrie | related to Advantages of Ctries | Most | 0.60 | section |
| Ctrie | related to history | Ctries | 0.60 | section |
| Ctrie | related to history | Aleksandar Prokopec | 0.60 | section |
| Ctrie | related to history | To | 0.60 | section |
| Ctrie | related to history | Insert | 0.60 | section |
| Ctrie | related to history | Remove | 0.60 | section |
| Ctrie | related to Implementations | Scala | 0.60 | section |
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.