# OpenXLA

> machine learning compiler

**Wikidata**: [Q117034645](https://www.wikidata.org/wiki/Q117034645)  
**Source**: https://4ort.xyz/entity/openxla

## Summary
OpenXLA is a machine learning compiler classified as a type of software. It serves as a non-tangible executable component of a computer, developed by computer scientist Peter Hawkins. The project is open-source, utilizing the Apache Software License 2.0.

## Key Facts
- **Classification:** OpenXLA is a machine learning compiler and an instance of software.
- **Developer:** Created and developed by Peter Hawkins, a computer scientist.
- **License:** Distributed under the Apache Software License 2.0 (validated 2023-03-10).
- **Aliases:** Also known simply as "XLA."
- **Source Code:** Hosted on GitHub at `https://github.com/openxla/xla`.
- **Official Website:** Accessible at `https://openxla.org/xla`.
- **Social Media:** Maintains a Twitter handle (`@openxla`) and a YouTube channel (`openxla`).
- **YouTube Statistics:** As of August 18, 2024, the official YouTube channel has 677 subscribers, 55 videos, and 20,202 views; the channel was created on June 16, 2022.
- **Programming Language:** Associated with programming language identifier Q2407 (Wikidata).
- **Mathematical Identifier:** Assigned swMATH work ID 22106.

## FAQs
### Q: Who created OpenXLA?
A: OpenXLA was developed by Peter Hawkins, a computer scientist. It is recognized as a distinct software entity within the machine learning ecosystem.

### Q: Is OpenXLA free to use?
A: Yes, OpenXLA is available under the Apache Software License 2.0. This allows it to be freely used and modified by developers.

### Q: Where can the source code for OpenXLA be found?
A: The source code repository is publicly hosted on GitHub at `https://github.com/openxla/xla`.

## Why It Matters
OpenXLA serves a critical role in the technology sector as a machine learning compiler. As a compiler, it functions as an essential bridge, translating high-level machine learning models into executable code that computer hardware can process efficiently. By defining itself as a "non-tangible executable component," OpenXLA highlights its role in the logical execution of tasks rather than physical hardware.

The project's significance is further underscored by its licensing model; released under the Apache Software License 2.0, it promotes open collaboration and widespread adoption in both academic and commercial settings. The stewardship by a specialized computer scientist, Peter Hawkins, ensures that the software maintains rigorous technical standards. Its online presence, evidenced by a dedicated website and active code repository, positions it as an accessible tool for developers seeking to optimize machine learning workloads.

## Notable For
- **Specific Domain:** Functions strictly as a machine learning compiler.
- **Open Licensing:** Utilizes the permissive Apache Software License 2.0.
- **Verified Authorship:** Attributed to a specific individual, Peter Hawkins, rather than a vague corporate entity.
- **Active Maintenance:** Maintains a verified digital presence through GitHub, Twitter, and a dedicated YouTube channel created in 2022.

## Body
### Development and Classification
OpenXLA is identified as a machine learning compiler. In the hierarchy of computer components, it is classified as software, defined specifically as a "non-tangible executable component of a computer." The project lists Peter Hawkins, a computer scientist, as its developer.

### Technical Specifications
The software is written in the programming language identified by the Wikidata ID Q2407. It holds the swMATH work ID 22106, categorizing it within mathematical software databases. The copyright status of the software is listed as "copyrighted," though it is distributed under the open-source Apache Software License 2.0.

### Repository and Online Presence
The primary source code repository is located at `https://github.com/openxla/xla`. The project maintains an official website at `https://openxla.org/xla`.

#### Social Media and Community
OpenXLA maintains a digital footprint across several platforms:
- **Twitter:** The handle `@openxla` is the official account.
- **YouTube:** The channel "OpenXLA" (ID: `UCXDDXMlj8TXD7-BuaSoQYoA`) was created on June 16, 2022.
- **YouTube Metrics:** As of the point in time August 18, 2024, the channel hosted 55 videos, accumulating 20,202 total views and 677 subscribers.

## References

1. [Source](https://api.github.com/repos/openxla/xla)