Chapel

Chapel is a programming language designed for productive parallel computing at scale.

Why Chapel? Because it simplifies parallel programming through elegant support for:

• distributed arrays that can leverage thousands of nodes' memories and cores
• a global namespace supporting direct access to local or remote variables
• data parallelism to trivially use the cores of a laptop, cluster, or supercomputer
• task parallelism to create concurrency within a node or across the system
• GPU programming in a vendor-neutral manner using the same features as above

Chapel Characteristics

• productive: code tends to be similarly readable/writable as Python
• scalable: runs on laptops, clusters, the cloud, and HPC systems
• fast: performance competes with or beats C/C++ & MPI & OpenMP
• portable: compiles and runs in virtually any *nix environment
• open-source: hosted on GitHub, permissively licensed