Experience in developing an open source scalable software infrastructure in japan

Authors:
Akira Nishida
Affiliations:
Research Institute for Information Technology, Kyushu University, Fukuoka, Japan
Venue:
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Year:
2010

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Abstract

The Scalable Software Infrastructure for Scientific Computing (SSI) Project was initiated in November 2002, as a five year national project in Japan, for the purpose of constructing a scalable software infrastructure to replace the existing implementations of parallel algorithms in individual scientific fields. The project covered the following four areas: iterative solvers for linear systems, fast integral transforms, their effective implementation for high performance computers of various types, and joint studies with institutes and computer vendors, in order to evaluate the developed libraries for advanced computing environments. An object-oriented programming model was adopted to enable users to write their parallel codes by just combining elementary mathematical operations. Implemented algorithms are selected from the viewpoint of scalability on massively parallel computing environments. The libraries are freely available via the Internet, and intended to be improved by the feedback from users. Since the first announcement in September 2005, the codes have been downloaded and evaluated by thousands of users at more than 140 organizations around the world.