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Easy Composition of Symbolic Computation Software using SCSCP: A New Lingua Franca for Symbolic Computation

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Author(s)

Stephen Alexander Linton, Kevin Hammond, Alexander Konovalov, Christopher Mark Brown, P. W. Trinder, Hans-Wolfgang Loidl, Peter Horn, Dan Roozemond

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Abstract

We present the results of the first four years of the European research project SCIEnce—Symbolic Computation Infrastructure in Europe (http://www.symbolic-computing.org), which aims to provide key infrastructure for symbolic computation research. A primary outcome of the project is that we have developed a new way of combining computer algebra systems using the Symbolic Computation Software Composability Protocol (SCSCP), in which both protocol messages and data are encoded in the OpenMath format. We describe the SCSCP middleware and APIs, outline implementations for various Computer Algebra Systems (CAS), and show how SCSCP-compliant components may be combined to solve scientific problems that cannot be solved within a single CAS, or may be organised into a system for distributed parallel computations. Additionally, we present several domain-specific parallel skeletons that capture commonly used symbolic computations. To ease use and to maximise inter-operability, these skeletons themselves are provided as SCSCP services and take SCSCP services as arguments.
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Details

Original languageEnglish
Pages (from-to)95-119
Number of pages15
JournalJournal of Symbolic Computation
Volume49
Early online date25 Jan 2012
DOIs
Publication statusPublished - Feb 2013

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