# ParallelAccelerator.jl

**Repository Path**: mirrors_IntelLabs/ParallelAccelerator.jl

## Basic Information

- **Project Name**: ParallelAccelerator.jl
- **Description**: The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
- **Primary Language**: Unknown
- **License**: BSD-2-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-06
- **Last Updated**: 2025-12-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

> :warning: **DISCONTINUATION OF PROJECT** - 
> *This project will no longer be maintained by Intel.
> Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.*
> **Intel no longer accepts patches to this project.**
> *If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.*

# ParallelAccelerator

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*ParallelAccelerator* is a Julia package for speeding up
compute-intensive Julia programs.  In particular, Julia code that
makes heavy use of high-level array operations is a good candidate for
speeding up with ParallelAccelerator.

With the ``@acc`` macro that ParallelAccelerator provides, users may
specify parts of a program to accelerate.  ParallelAccelerator
compiles these parts of the program to fast native code.  It
automatically eliminates overheads such as array bounds checking when
it is safe to do so.  It also parallelizes and vectorizes many
data-parallel operations.

ParallelAccelerator is part of the High Performance Scripting (HPS)
project at Intel Labs.

Quick install (requires Julia 0.5.x or 0.4.x):
``` .julia
Pkg.add("ParallelAccelerator") 
```

## Resources

- **Paper:** Todd A. Anderson, Hai Liu, Lindsey Kuper, Ehsan Totoni, Jan Vitek, and Tatiana Shpeisman, ["Parallelizing Julia with a Non-Invasive DSL"](http://drops.dagstuhl.de/opus/volltexte/2017/7269/pdf/LIPIcs-ECOOP-2017-4.pdf) ([ECOOP 2017](http://2017.ecoop.org/track/ecoop-2017-papers))
- **Documentation:** <http://parallelacceleratorjl.readthedocs.org/>
- **Blog post** with usage examples, performance results, and discussion of package internals: <http://julialang.org/blog/2016/03/parallelaccelerator>
- **Presentations:**
  - [Video](https://www.youtube.com/watch?v=Ti9qqAe_NF4) of a talk at [JuliaCon 2016](http://juliacon.org/schedule.html), June 24, 2016.
  - [Slides](http://www.slideshare.net/ChristianPeel/ehsan-parallel-acceleratordec2015) and [audio](https://soundcloud.com/christian-peel/ehsan-totoni-on-parallelacceleratorjl) of a talk at [Bay Area Julia Users](http://www.meetup.com/Bay-Area-Julia-Users/events/226531171/), December 17, 2015.
  - [Video](https://www.youtube.com/watch?v=O6PN-kpbNTw) of a talk at [SPLASH-I](http://2015.splashcon.org/event/splash2015-splash-i-lindsey-kuper-talk), October 29, 2015.
- **Mailing List:** <http://groups.google.com/group/julia-hps/>
- **Chat Room:** <https://gitter.im/IntelLabs/ParallelAccelerator.jl>
- **GitHub Issues:** <https://github.com/IntelLabs/ParallelAccelerator.jl/issues>