a Productive Parallel Programming Language

About Chapel

Chapel is an open-source programming language designed for productive parallel computing at scale. Chapel is implemented with portability in mind, permitting Chapel to run on multicore desktops and laptops, commodity clusters, and the cloud, in addition to the high-end supercomputers for which it was designed. Chapel's design and development are being led by Cray Inc. in collaboration with academia, computing centers, and industry. Chapel offers a unique experience for students to work on projects involving high-performance computing, parallel programming, and compiler development.

Core features

Native Parallelism

Chapel supports parallelism at the language level. For instance, Chapel provides a "coforall" loop, which is similar to a "for" loop and creates a separate task per iteration of the loop body. These explicit parallelism features make it easier to reason about the parallelism in your algorithm and program.

Data and Task Locality

When working on a large machine, the location of some data relative to the task which uses it or other data with which it must work plays a key role in performance. Chapel provides features which allow you to control that placement, both within a data structure and outside it.

Multiresolution Philosophy

Chapel is designed around a multiresolution philosophy, permitting users to initially write very abstract code and then incrementally add more detail until they are as close to the machine as their needs require.

Modern Language Features

Chapel supports code reuse and rapid prototyping via object-oriented design, type inference, and features for generic programming.


Existing code from other languages can be integrated into Chapel programs (or vice-versa) via interoperability features.

lightbulb_outline View ideas list


  • chapel
  • python
  • high performance computing
  • c
  • c++


comment IRC Channel
email Mailing list
mail_outline Contact email

Chapel 2017 Projects

  • LouisJenkinsCS
    Distributed Data Structures
    Built-in data structures are a necessity for any budding language, and in a language where distributed computing is at its core, data structures that...
  • Przemysław Leśniak
    Improve LLVM backend for Chapel compiler
    This project is about improving LLVM backend for chapel compiler. Improvements consist of improving loop vectorization by adding proper metadata and...
  • saru95
    To write a new cryptography module for Chapel that provides an interface to standard cryptography libraries that support common algorithms.
    This project aims to enable Chapel with its own module which would be a collection of both secure hash functions(such as SHA256) and various...