Abstract

This chapter presents an exposition on large-scale scientific computing to help applications programmers improve their capabilities. American scientists are deeply concerned that their leadership role is slipping in large-scale scientific computer hardware and software development. However, they maintained their leadership over the past two decades by developing scientific computer codes. These codes are an indispensable tool in many modern science and engineering projects. Traditionally, they were designed by scientists or engineers in the field that the code was intended to model. By combining expert knowledge in a particular field with intuition and experimental clues, and by incorporating a modest experience in numerical analysis and software design, these programmers often devised ingenious methods and written codes that work well, with varying degrees of accuracy. The capabilities of any scientific computer code limit an understanding of the problem being modeled. More accuracy is needed as the engineering designs become more detailed and operate closer to the thresholds of failure.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.