nesl

NESL is a parallel programming language developed at Carnegie Mellon by the SCandAL project. It integrates various ideas from parallel algorithms, and functional programming and array programming languages. The most important new ideas behind NESL are

Nested data parallelism: this feature offers the benefits of data parallelism, concise code that is easy to understand and debug, while being well suited for irregular algorithms, such as algorithms on trees, graphs or sparse matrices.
A language based performance model: this gives a formal way to calculated the work and depth of a program. These measures can be related to running time on parallel machines.

The main design guideline for NESL was to make parallel programming easy and portable. Algorithms are typically significantly more concise in NESL than in most other parallel programming languages, and the code closely resembles high-level pseudocode.

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