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.

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


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Chapel 2020 Projects

  • Ankush Bhardwaj
    Improve Mason Package Manager
    A package manager is a programming language's tool to create environments for projects and easily use external dependencies. It allows users or...
  • Rahul Ghangas
    Native Distribute Linear Algebra Implementations
    Provide a distributed implementation of the Linear Algebra package in Chapel, which is currently restricted to a single node/locale
  • Aniket Mathur
    Protocol Buffers Integration
    Google Protocol Buffers is a language-neutral serialization library. However Chapel support for Protocol Buffers has not been investigated....
  • Yujia Qiao
    Sequential Data Structures
    Provide a new mason package implementing various parallel safe sequential data structures.