Abstract We present the application of our knowledge visualization tool, VxInsight®, to enable domain analysis for science and technology management within the enterprise. Data mining from sources of bibliographic information is used to define subsets of information relevant to a technology domain. Relationships between the individual objects (e.g., articles) are identified using citations, descriptive terms, or textual similarities. Objects are then clustered using a force‐directed placement algorithm to produce a terrain view of the many thousands of objects. A variety of features that allow exploration and manipulation of the landscapes and that give detail on demand, enable quick and powerful analysis of the resulting landscapes. Examples of domain analyses used in S&T management at Sandia are given.

In researching the communication mechanisms between cells of the immune system, visualization of proteins in three dimensions can be used to determine which proteins are capable of interacting with one another at a given time by showing their spatial colocality. Volume data sets are created using digital confocal immunofluorescence microscopy. A variety of visualization approaches are then used to examine the interactions. These include volume rendering, isosurface extraction, and virtual reality. Based on our experiences, we have concluded that no single one of these approaches provides a complete solution for visualizing biological data. However, in combination, their respective strengths complement one another to provide an understanding of the data.

The εpsilon dataflow architecture is designed for high speed uniprocessor execution as well as for parallel operation in a multiprocessor system. The εpsilon architecture directly matches ready operands, thus eliminating the need for associative matching stores. εpsilon also supports low cost data fan out and critical sections. A 10 MFLOPS CMOS/TTL processor prototype is running and its performance has been measured with several benchmarks. The prototype processor has demonstrated sustained performance exceeding that of comparable control flow processors running at higher clock rates (three times faster than a 20 Mhz transputer and 24 times faster than a Sun on a suite of arithmetic tests, for example).