Fostering Reuse in Scientific Computing With Embedded Components Application to High-Performance Bayesian Inference for Bioinformatics

作     者：Lanore, Vincent 

作者机构：Univ Lyon Lyon France 

出 版 物：《COMPUTING IN SCIENCE & ENGINEERING》 (Comput. Sci. Eng.)

年 卷 期：2019年第21卷第2期

页      面：36-47页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：ANR-15-CE32-0005 

主　　题：Belief Networks Embedded Systems Inference Mechanisms Object Oriented Programming Parallel Processing Software Reusability Scientific Computing Embedded Components Programming Paradigm Software Reuse High Performance Languages Component Based Programming High Performance Bayesian Inference Application Unified Modeling Language Computational Modeling C Languages Software Connectors Bayes Methods Optimization 

摘      要：Component-based programming is a programming paradigm that eases software reuse but has yet to be widely adopted in scientific computing. We propose to embed component frameworks inside high-performance languages directly to improve flexibility compared to the literature. We present this approach through the example of a high-performance Bayesian inference application.