Harlan – language for GPU computing

Harlan is an open source declarative, domain specific language for programming GPUs. It serves primarily as a testbed for implementation and optimization techniques.

Harlan is a language for data parallel computing that has its roots in C and Scheme. Harlan’s syntax is based on Scheme, but several forms have been added to support parallel processing. One key difference is that Harlan is statically typed. The compiler infers the type for each expression, however, so the programmer is not burdened by type annotations.

The language is intentionally small, in order to simplify the process of exploring new analyses and optimizations.

Harlan requires an OpenCL implementation as well as Chez Scheme or Petite Chez Scheme.

Features include:

  • Can be compiled to OpenCL and can make use of the higher-level languages, Python and Ruby. This enables it to be used by Intel’s OpenCL SDK, NVIDIA’s CUDA Toolkit, or AMD’s APP SDK.
  • Syntax is based on Scheme, which is based on Lisp.
  • Supports a number of different data types, such as integers, floating point numbers and strings.
  • Supports Scheme-like vector accessing.
  • Use external functions.
  • Provides a small library of built-in functions.

Website: github.com/eholk/harlan
Support:
Developer: Eric Holk, Claire Alvis, William Byrd, Ryan Newton, Sajith Sasidharan, Greg Zynda
License: BSD 3-clause “New” or “Revised” License

Harlan is written in Scheme. Learn Scheme with our recommended free books and free tutorials.

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