# Strand

> symbolic language for parallel computing

**Wikidata**: [Q7621223](https://www.wikidata.org/wiki/Q7621223)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Strand_(programming_language))  
**Source**: https://4ort.xyz/entity/strand

## Summary
Strand is a symbolic programming language designed for parallel computing, developed by Ian T. Foster and Steve Taylor in 1989. It is classified as a parallel programming language, enabling efficient execution of programs across multiple processors or cores.

## Key Facts
- **Developer**: Ian T. Foster and Steve Taylor
- **Inception**: 1989
- **Type**: Parallel programming language
- **Paradigm**: Parallel computing
- **Wikidata ID**: Q2357890
- **Wikipedia Title**: Strand (programming language)
- **Available in**: English (en), Japanese (ja)
- **Library of Congress Authority ID**: sh89003187
- **National Library of Israel J9U ID**: 987007549030105171

## FAQs
### Q: What is Strand used for?
A: Strand is a symbolic language designed specifically for parallel computing, allowing programs to execute efficiently across multiple processors or cores.

### Q: Who developed Strand?
A: Strand was developed by Ian T. Foster and Steve Taylor in 1989.

### Q: Is Strand still in use today?
A: The provided source material does not specify Strand's current usage, but it remains a recognized parallel programming language with historical significance.

### Q: What programming paradigm does Strand follow?
A: Strand follows the parallel computing paradigm, enabling concurrent execution of tasks.

### Q: Where can I find more information about Strand?
A: Additional details can be found on its Wikipedia page (en, ja) and in academic sources referencing its Wikidata entry.

## Why It Matters
Strand played a pivotal role in early parallel computing by providing a symbolic language tailored for distributed and concurrent execution. As computing systems evolved toward multi-core architectures, Strand contributed to the development of tools that could leverage parallelism more effectively. While it may not be as widely used today, its foundational work in parallel programming continues to influence modern languages and frameworks. Strand’s emphasis on symbolic representation and parallel execution set a precedent for subsequent languages designed to handle the computational demands of high-performance systems.

## Notable For
- **Early Parallel Language**: One of the first symbolic languages explicitly designed for parallel computing.
- **Symbolic Approach**: Used symbolic representations to simplify parallel programming tasks.
- **Historical Significance**: Documented in academic and bibliographic databases, indicating its influence on later developments.
- **Multi-Language Support**: Available in both English and Japanese, reflecting its broader adoption potential.
- **Bibliographic Recognition**: Recognized by the Library of Congress and the National Library of Israel, highlighting its scholarly importance.

## Body
### Origins and Development
Strand was developed by Ian T. Foster and Steve Taylor in 1989, emerging as a response to the growing need for parallel programming languages. The language was designed to facilitate parallel execution through symbolic constructs, making it accessible to developers working on distributed systems.

### Classification and Usage
Strand is classified as a parallel programming language, adhering to the parallel computing paradigm. Its symbolic nature allowed programmers to abstract complex parallel operations, improving efficiency in multi-processor environments.

### Bibliographic and Scholarly Recognition
Strand is documented in bibliographic databases, including the Library of Congress and the National Library of Israel, underscoring its scholarly recognition. Its inclusion in Wikidata and Wikipedia (en, ja) further solidifies its place in programming language history.

### Legacy and Influence
While Strand’s current usage is not specified, its contributions to parallel computing remain relevant. The language’s symbolic approach and focus on parallelism laid groundwork for later developments in high-performance computing.

## References

1. [Source](https://github.com/JohnMarkOckerbloom/ftl/blob/master/data/wikimap)
2. National Library of Israel Names and Subjects Authority File