NESL - définition. Qu'est-ce que NESL
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Qu'est-ce (qui) est NESL - définition

PARALLEL PROGRAMMING LANGUAGE
NESL (programming language); NESL programming language

NESL         
<language> A parallel language loosely based on ML, developed at Carnegie Mellon University by the SCandAL project. NESL integrates parallel algorithms, {functional languages} and implementation techniques from the system's community. Nested data parallelism offers concise code that is easy to understand and debug and suits irregular data structures such as trees, graphs or sparse matrices. NESL's language based performance model is a formal way to calculate the "work" and "depth" of a program. These measures can be related to running time on a parallel computer. NESL was designed to make parallel programming easy and portable. Algorithms are typically more concise in NESL than in most other parallel programming languages and the code resembles high-level pseudocode. This places more responsibility on the compiler and run-time system for achieving good efficiency. NESL currently runs on Unix workstations, the IBM SP-2, the Thinking Machines CM5, the Cray C90 and J90, the MasPar MP2, and the Intel Paragon. Work is underway (April 1997) on a portable MPI back end, and an implementation for symmetric multiprocessors, such as the SGI Power Challenge or the DEC AlphaServer. Latest version: Release 3.1, as of 1995-11-01. {Home (http://cs.cmu.edu/afs/cs.cmu.edu/project/scandal/public/www/nesl.html)}. ["NESL: A Nested Data-Parallel Language", Guy Blelloch, CMU-CS-93-129, April 1993]. (1997-04-13)
NESL         
NESL is a parallel programming language developed at Carnegie Mellon by the SCandAL project and released in 1993. It integrates various ideas from parallel algorithms, functional programming, and array programming languages.

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NESL

NESL is a parallel programming language developed at Carnegie Mellon by the SCandAL project and released in 1993. It integrates various ideas from parallel algorithms, 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 calculate 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.

NESL handles nested data parallelism by using the flattening transformation to convert nested data parallelism to flat data parallelism. This works by storing nested vectors as the nested data and a segment descriptor of vector lengths, separately. This flattening transform, however, can increase the asymptotic work and space complexity of the original program, leading to a much less efficient result.