Jürgen Reuter

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The introduction of Java has been heralded as a revolution in network computing. Certainly, machine and operating system independent applets ittering through the Internet promised to jazz up web surrng; but could they be used to advantage for distributed comput-ing? The authors had encountered substantial problems in implementing a distributed revision(More)
Revision control has long been a standard part of software development. With the enormous expansion of the Internet and its increasing use as a means of communicating among geographically dispersed software developers, the need for distributed version control over the Internet has become acute. In order to address this need, the authors have developed a(More)
Remote method invocation in Java RMI allows the flow of control to pass across local Java threads and thereby span multiple virtual machines. However, the resulting distributed threads do not strictly follow the paradigm of their local Java counterparts for at least three reasons: Firstly, the absence of a global thread identity causes problems when(More)
<i>The current suite of systems that offer client/server capabilities for document versioning relies on proprietary protocols for communicating between a central versioning repository and a remote client. In order to support better document authoring via the Web, the DeltaV working group of the Web-DAV (WWW Distributed Authoring and Versioning) project of(More)
We introduce a high-performance virtual machine (VM) written in a numerically fast language like Fortran or C to evaluate very large expressions. We discuss the general concept of how to perform computations in terms of a VM and present specifically a VM that is able to compute tree-level cross sections for any number of external legs, given the(More)
We present a program that allows for the computation of tensor products of irre-ducible representations of Lie algebras A − G based on the explicit construction of weight states. This straightforward approach (which is slower and more memory-consumptive than the standard methods to just calculate dimensions of the tensor product decomposition) produces(More)