# Charm++

> parallel object-oriented programming language based on C++

**Wikidata**: [Q1067540](https://www.wikidata.org/wiki/Q1067540)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Charm++)  
**Source**: https://4ort.xyz/entity/charm-q1067540

## Summary
Charm++ is a parallel object-oriented programming language based on C++. It was designed by computer scientist Laxmikant Kale and supports distributed computing across platforms like Linux, Microsoft Windows, and macOS. The latest stable version is 7.0.0, released in October 2021.

## Key Facts
- **Based on C++**: Charm++ extends C++ to support parallel and distributed computing.
- **Designed by Laxmikant Kale**: The language was created by computer scientist Laxmikant Kale.
- **Latest stable version**: 7.0.0, released on October 25, 2021.
- **Supported platforms**: Linux, Microsoft Windows, and macOS.
- **Developers**: Includes Eric J. Bohm, Evan Ramos, Kavitha Chandrasekar, and Sam White.
- **Website**: [charmplusplus.org](https://charmplusplus.org).
- **Wikipedia presence**: Available in 10 languages, including English, German, and Russian.
- **Library of Congress ID**: sh2013002454.

## FAQs
### Q: What is Charm++ used for?
A: Charm++ is used for parallel and distributed computing, enabling developers to write object-oriented programs that run efficiently across multiple processors or machines.

### Q: Who developed Charm++?
A: Charm++ was designed by computer scientist Laxmikant Kale and developed by a team including Eric J. Bohm, Evan Ramos, Kavitha Chandrasekar, and Sam White.

### Q: On which operating systems can Charm++ run?
A: Charm++ supports Linux, Microsoft Windows, and macOS.

### Q: What is the latest version of Charm++?
A: The latest stable version is 7.0.0, released on October 25, 2021.

### Q: Is Charm++ free to use?
A: Yes, Charm++ is open-source and free to use, with its source code and documentation available on its official website.

## Why It Matters
Charm++ addresses the growing demand for scalable, high-performance computing by providing a parallel extension of C++. It enables developers to write distributed applications that efficiently utilize multiple processors or machines, making it valuable for scientific computing, large-scale simulations, and data-intensive applications. By leveraging object-oriented principles, Charm++ simplifies the development of complex parallel programs while maintaining performance. Its support for multiple platforms ensures broad applicability, from supercomputers to desktop environments. The language's active development and community-driven updates further enhance its relevance in the evolving landscape of high-performance computing.

## Notable For
- **Parallel object-oriented design**: Unlike traditional parallel programming models, Charm++ integrates parallelism directly into C++'s object-oriented framework.
- **Cross-platform compatibility**: Supports Linux, Microsoft Windows, and macOS, making it accessible across different computing environments.
- **Active development**: Regular updates, including the latest stable version (7.0.0), ensure ongoing support and improvements.
- **Open-source**: Free and accessible, with a community-driven development model.
- **Scientific computing focus**: Widely used in fields requiring large-scale simulations and data processing.

## Body
### Overview
Charm++ is a parallel programming language based on C++, designed to facilitate distributed computing. It was developed by Laxmikant Kale and a team of researchers, with the goal of extending C++'s capabilities for high-performance computing.

### Development and Versions
- **Designed by Laxmikant Kale**: The language was created by computer scientist Laxmikant Kale.
- **Latest stable version**: 7.0.0, released on October 25, 2021.
- **Developers**: Includes Eric J. Bohm, Evan Ramos, Kavitha Chandrasekar, and Sam White.

### Platform Support
- **Operating systems**: Linux, Microsoft Windows, and macOS.
- **Cross-platform**: Designed to work across different computing environments.

### Usage and Impact
- **Parallel computing**: Enables efficient execution of programs across multiple processors or machines.
- **Scientific applications**: Used in large-scale simulations and data processing.
- **Open-source**: Free to use, with documentation and resources available on its official website.

### Recognition and References
- **Wikipedia presence**: Available in 10 languages, including English, German, and Russian.
- **Library of Congress ID**: sh2013002454.
- **National Library of Israel ID**: 987007574822805171.

## References

1. [Source](https://github.com/JohnMarkOckerbloom/ftl/blob/master/data/wikimap)
2. [Source](https://charmplusplus.org/news/)
3. Freebase Data Dumps. 2013
4. National Library of Israel Names and Subjects Authority File