https://github.com/chapel-lang/chapel-hello-world

A 'Hello, world!' repository and GitHub Codespace template in Chapel
https://github.com/chapel-lang/chapel-hello-world

chapel concurrency demo distributed-computing example gpu high-performance-computing language open-source parallel parallel-computing performance scientific-computing works-with-codespaces

Last synced: 18 days ago
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A 'Hello, world!' repository and GitHub Codespace template in Chapel

• Host: GitHub
• URL: https://github.com/chapel-lang/chapel-hello-world
• Owner: chapel-lang
• Created: 2024-03-21T16:03:16.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-21T22:45:50.000Z (8 months ago)
• Last Synced: 2024-10-10T22:54:56.096Z (about 1 month ago)
• Topics: chapel, concurrency, demo, distributed-computing, example, gpu, high-performance-computing, language, open-source, parallel, parallel-computing, performance, scientific-computing, works-with-codespaces
• Language: Chapel
• Homepage: https://chapel-lang.org/
• Size: 9.77 KB
• Stars: 1
• Watchers: 16
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 'Hello, world!' in Chapel

[Chapel](https://github.com/chapel-lang/chapel/) is a programming language for productive parallel computing. This repository contains starter code for a Chapel project. Please see the [Learning Chapel](https://chapel-lang.org/learning.html) page to learn more of the language's features.

To get started with this template, you can either use [GitHub Codespaces](#using-a-codespace) or [your own machine](#using-your-machine).

For more code samples, consider trying out the [Primers](https://chapel-lang.org/docs/primers/),

or the [many programs from a past Chapel tutorial](https://github.com/chapel-lang/chapel/tree/main/test/exercises/Oct2023tutorial).

## Using a Codespace

> :warning: Because Codespaces are a virtualized environment running on shared hardware with a modest core count, don't expect parallelism or performance observed here to be reflective of what a native installation of Chapel can achieve.

The `chapel-hello-world` repo includes a `devcontainer.json` file, making it usable from GitHub Codespaces. When viewing this repository from GitHub's UI, click __Use this template > Open in a codespace__ to get started. The codespace includes the Visual Studio Code extension for Chapel, and tools such as [`chpl-language-server`](https://chapel-lang.org/docs/main/tools/chpl-language-server/chpl-language-server.html) and [`chplcheck`](https://chapel-lang.org/docs/main/tools/chplcheck/chplcheck.html).

In the Codespace, compile Chapel programs using the __Terminal__ tab by using the `chpl` compiler:

```bash

chpl hello.chpl

./hello

```

Although the Codespace is set to a single-locale (single-node) mode by default, you can simulate multiple nodes by setting the `CHPL_COMM` environment variable to `gasnet` when compiling.

```bash

# Compile a program that distributes computation to multiple nodes

CHPL_COMM=gasnet chpl examples/hello4-datapar-dist.chpl

# Run hello using two simulated nodes

./hello4-datapar-dist -nl 2 

```

To avoid having to include `CHPL_COMM` in each compilation command, you can

`export` it:

```bash

export CHPL_COMM=gasnet

chpl examples/hello4-datapar-dist.chpl

./hello4-datapar-dist -nl 2 

```

## Using Your Machine

Please follow the instructions on the [Download Chapel](https://chapel-lang.org/download.html) page to get set up with the Chapel compiler `chpl`. From there, you can compile and run the `hello.chpl` file in this repository as follows:

```bash

chpl hello.chpl

./hello

```

To make use of multiple nodes (or to simulate multi-node execution), please

refer to [Multilocale Chapel Execution](https://chapel-lang.org/docs/usingchapel/multilocale.html).