Title of article :
Scientific Programming Techniques and Algorithms for Data-Intensive Engineering Environments
Author/Authors :
Alor-Hernández, Giner Division of Research and Postgraduate Studies - Instituto Tecnologico de Orizaba, Orizaba, VER, Mexico , Mej-a-Miranda, Jezreel Research Center in Mathematics (CIMAT, A. C.), Unit Zacatecas, Zacatecas, ZAC, Mexico , Álvarez-Rodr-guez, José Mar-a Department of Engineering and Computer Science - Universidad Carlos III de Madrid, Madrid, Spain
Abstract :
In recent years, the development, advancement, and use of Information and Communications Technology (ICT) have had a major impact on the operation, structure, and strategy of organizations around the world. Today, it is unthinkable to conceive an organization without the use of ICT, because it allows for the reduction of communication costs and operation while increasing flexibility, interactivity, performance, and productivity. As a result, digital technology fueled by ICT and ICT is currently embedded in any task, activity, and process that is done in any organization or even our daily life activities. This new digital age also implies that science, engineering, and business environments need to reshape their strategies and underlying technology to become a key player of the Industrial Revolution 4.0
Keywords :
Scientific Programming Techniques , Data-Intensive Engineering Environments
Journal title :
Scientific Programming
