An IDL-Based Parallel Model for Scientific Computations on Multi-core Computers

摘要

Parallel computing is an efficient way to improve the efficiency of scientific computations. However, most of current parallel methods are implemented based on massage passing interface and very complicated for researchers. This study presents a new parallel model based on interactive data language. This paper specifically designed and described the parallel principles, strategies, architectures, and algorithms of the model. An experiment of a time series extraction was conducted to evaluate its performance, and the result illustrated that this model can significantly improve efficiency of scientific computations. Additionally, the model can be easily extended by third-part modules or toolkits. This study provides a general and upper-layer parallel model for scientists and engineers in scientific community.