Open Source on the Scientific Bleeding Edge
Is open source the best paradigm for developing high performance software for scientific research?
We'll present our 3+ year experiment in developing an open-source, science-neutral, modular
framework for computational modelling.
||Scientific Computing, Agile Modelling, Framework Development, Distributed Development, Programming for High Performance, Open Source Economics, Collaboration technologies
Article: Electronic (PDF File; 916.456KB).
Published by The Open Source Developers' Conference Papers.
Patrick Sunter is a Project Coordinator and Software Engineer at the Victorian Partnership for Advanced Computing (VPAC), with several years experience developing high performance software frameworks and architectures for cutting-edge scientific modelling. Patrick's key skills are the ability to research, conceptualise, then translate complex mathematical algorithms into robust and re-usable software.
Patrick's role allows him to develop his broad interest in many fields of science and computing, and his leadership responsibilities have also sparked an interest in all ideas and tools that improve a software team's productivity in complex multi-disciplinary fields, such as the open source paradigm, agile modelling, and Wikis. One of his career highlights has been the opportunity of a 3-month exchange at the California Institute of Technology, working with some of the United States' leading scientific software developers.