Feature Article—Reporting Computational Experiments with Parallel Algorithms: Issues, Measures, and Experts' Opinions

Published Online:https://doi.org/10.1287/ijoc.5.1.2

Accompanying the increasing availability of parallel computing technology is a corresponding growth of research into the development, implementation, and testing of parallel algorithms. This paper examines issues involved in reporting on the empirical testing of parallel mathematical programming algorithms, both optimizing and heuristic. We examine the appropriateness of various performance metrics and explore the effects of testing variability, machine influences, testing biases, and the effects of tuning parameters. Some of these difficulties were explored further in a survey sent to leading computational mathematical programming researchers for their reactions and suggestions. A summary of the survey and proposals for conscientious reporting are presented.

INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.