Parallel implementation of a transportation network model

Parallel implementation of a transport network model

This paper describes the parallel implementation of a transport network model. A ‘SingleProgram, Multiple Data’ (SPMD) paradigm is employed using a simple data decomposition approach where each processor runs the same program but acts on a different subset of the data. The objective is to reduce the execution time of the model. The computationally intensive part of the model is within the assig...

An Optimal Parallel Implementation of a Quadratic Transportation Algorithm

An integrated model for designing a distribution network of products under facility and transportation link disruptions

Due to occurrence of unexpected disruptions,a resilient supply chain design is important. In this paper, a bi-objective model is proposed for designing a resilient supply chain including suppliers, distribution centers (DCs), and retailers under disruption risks.The first objective function minimizes total costs. The second objective function maximizes satisfied demands. We use the augmented e-...

A Parallel Artificial Neural Network Implementation

Traditional computational methods are highly structured and linear, properties which they derive from the digital nature of computers. These methods are highly effective at solving certain classes of problems: physics simulations, mathematical models, or the analysis of proteins. Classical computational methods are not effective at solving other problems, such as pattern recognition, adaptive l...

A Parallel Implementation of the Hirlam Model

This paper is a status-report describing the e ort to implement the HIRLAM numerical weather prediction model on a MasPar MP{1 system. Several results of the parallel implementation of the forecast model are presented. Di erences with more traditional implementations on vector-computers are outlined. While work is still going on, this report mainly focuses on explicit Eulerian methods. Semi-imp...