Computational Science and Engineering — Past, Present, and Future

Abstract

Physics-based computational modeling has become more practical in the past few years due to the availability of high performance computers (HPC), highspeed communications, and more robust visualization and data mining tools. Applications range from understanding fundamental science to solving a diverse set of important practical, real-world problems. The old paradigm of designing, testing, building, and then modeling is being replaced in some cases with a new paradigm of investigating and modeling before designing and building. People are now realizing computational modeling and simulation is an essential ingredient in reducing acquisition time for large systems. Single discipline problems are giving way more and more to the solution of multi-disciplinary problems. HPC, coupled with multi-disciplinary applications, is the driving force behind the challenges we face today in research and engineering.