2002/10/20 by Jens Krueger, Krueger, Jens
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Data Storage Technologies #Condensed Matter (cond-mat) #FOS: Physical sciences #Parallel Computing and Optimization Techniques #Scientific Computing and Data Management #cond-mat
paper · pdf · doi:10.48550/arxiv.cond-mat/0210429
Invited talk at NOBUGS2002 Conference, NIST, Gaithersburg, MD NOBUGS abstract identifier NOBUGS2002/018 7 pages, LaTeX, 3 eps figures
arxiv created 2002/10/20 · openalex publication_date 2002/10/20 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
At present each neutron scattering facility has its own set of data treatment software, normally based on a proprietary data format. The travelling scientist is either forced to continually learn new software or to write conversion routines for his own software tools. During software development most of the time is spent on routines connected with file input and output or visualisation. Our aim is to relieve the scientist from such tedious work to allow maximum effort to be spent on data processing routines. I present an "Open Source" component based, extendable, platform independent framework for visualisation and transformation of data. Most of the existing software appears as a monolithic block. In contrast openDaVE is built up in a modular design. It consists of three parts: the kernel, a lot of modules, and some different front-ends. The actual functionality of the framework is done by the modules. The kernel provides the creation, the destruction of the modules, and the interaction between them, whereas the front-end interacts with the user. The modules are divided in three classes: sources, filters, and sinks. Each of the module consists of two different parts: the module logic, and one or more interfaces, which set the module parameters. The interfaces are front-end specific.