Parampl: A Simple Tool for Parallel and Distributed Execution of AMPL Programs | Zendy

Artur Olszak | Zendy; Andrzej Karbowski | Zendy

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Parampl: A Simple Tool for Parallel and Distributed Execution of AMPL Programs

Author(s) -

Artur Olszak,

Andrzej Karbowski

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2868222

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Due to the physical processor frequency scaling constraint, current computer systems are equipped with more and more processing units. Therefore, parallel computing has become an important paradigm in the recent years. This paper presents Parampl, a simple tool for parallel and distributed execution of AMPL programs. AMPL is a comprehensive algebraic modeling language for formulating optimization problems. However, AMPL itself does not support defining tasks to be executed in parallel. Although the parallelism is often provided by solvers, in many cases, it is more efficient to formulate the problem in a decomposed way and apply various problem specific enhancements. Parampl introduces explicit asynchronous execution of AMPL subproblems from within the program code. Such an extension yields a new view on AMPL programs, where a programmer is able to define complex, parallelized optimization tasks and formulate algorithms solving optimization subproblems in parallel or in a distributed manner.

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