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A Model-Driven Approach To Job/Task Composition In Cluster Computing, Yogesh Kanitkar, Konstantin Läufer, Neeraj Mehta, George K. Thiruvathukal
A Model-Driven Approach To Job/Task Composition In Cluster Computing, Yogesh Kanitkar, Konstantin Läufer, Neeraj Mehta, George K. Thiruvathukal
Konstantin Läufer
In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel and distributed computing with a focus on cluster computing, was designed from ground up to be object-oriented. This paper describes how we have successfully used UML in the following model-driven, generative approach to job/task composition in CN. We model CN jobs using activity diagrams in any modeling tool with support for XMI, an XML-based external representation of UML models. We then export the activity diagrams and use our XSLT-based tool to transform the resulting XMI representation to …
Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer
Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer
Konstantin Läufer
The article explains what you need to do to incorporate XML directly into your computational science application. The exploration involves the use of a standard parser to automatically build object trees entirely from application-specific classes. This discussion very much focuses on object-oriented programming languages such as Java and Python, but it can work for non-object-oriented languages as well. The ideas in the article provide a glimpse into the Natural XML research project.
Scientific Programming: The Promises Of Typed, Pure, And Lazy Functional Programming: Part Ii, Konstantin Läufer, George K. Thiruvathukal
Scientific Programming: The Promises Of Typed, Pure, And Lazy Functional Programming: Part Ii, Konstantin Läufer, George K. Thiruvathukal
Konstantin Läufer
This second installment picks up where Konrad Hinsen's article "The Promises of Functional Programming" from the July/August 2009 issue left off, covering static type inference and lazy evaluation in functional programming languages.
Taming Xml: Objects First, Then Markup, Matt Bone, Peter Nabicht, Konstantin Läufer, George K. Thiruvathukal
Taming Xml: Objects First, Then Markup, Matt Bone, Peter Nabicht, Konstantin Läufer, George K. Thiruvathukal
Konstantin Läufer
Processing markup in object-oriented languages often requires the programmer to focus on the objects generating the markup rather than the more pertinent domain objects. The BetterXML framework aims to improve this situation by allowing the programmer to develop a domain-specific object model as usual and later bind this model to preexisting or newly generated markup. To this end, the framework provides two types of object trees, XElement and NaturalXML, for representing XML documents. XElement goes beyond DOM-like automatic parsing of XML by supporting the custom mapping of elements to domain objects; NaturalXML allows the mapping of existing domain objects to …