Bruce Lucas et al. An architecture for a scientific visualization system. In Proceedings Visualization '92 Conference, pages 107--114, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....executed, controlled and tuned interactively. Composing the simulation is accomplished via a visual programming interface to a dataflownetwork. Software systems suchasAVS from Application Visualization Systems Inc. 51] Iris Explorer from Silicon Graphics, and Visualization Data Explorer from IBM [52] have made this archetype popular for scientific visualization [53] Our work has extended this paradigm into the realm of scientific computation. In SCIRun, the typical components of the computational paradigm geometric modeling, numerical analysis, and scientific visualization are ....

B. Lucas and et al. An architecture for a scientific visualization system. In Proceedings of Visualization '92, pages 107--114. IEEE Press, 1992. 34

.... This gap between the user s numerical data formats and the prescribed structures usually used by visualization tools is one of the fundamental outstanding problems in scientific visualization [24, 42] Most of the standard visualization software currently in use works on prescribed data formats [7, 15, 27, 44]. Nevertheless in the general case a unique design of the visualization software is possible, if we encapsulate the actual spatial grid hierarchy and the access to the local function space in a procedural interface which has to be provided by the user. For the case of non hierarchical Finite ....

B. Lucas and et. al. An architecture for a scientific visualization system. In Proc. IEEE Visualization, 92.

...., f,and f. 3. Concrete model This section applies the concepts of the abstract model to our environment. Weak inversion and verification are being implemented in the Tioga database visualizer [11] 1] Tioga adopts the boxes and arrows programming paradigm popularized by AVS [14] Data Explorer [7], and Khoros [10] Every box is a user defined function and arrows represent the flow of data between these functions. Certain boxes are database browsers which visualize data and display it to the user. Tioga functions are written by expert users and regis 5 A possible general formulation of ....

B. Lucas, G. Abram, N. Collins, D. Epstein, et al. An architecture for a scientific visualization system. In Proc.

....programming. IDES [21] and DEVise [36] are both very flexible systems that provide extensive data manipulation and filtering capabilities through interaction with the visual representations; however, neither is easily extensible by the user. Data flow systems such as AVS [56] Data Explorer [37], Khoros [45] and VTK [50] closely match the flexibility and power offered by the data transformation components of Rivet, providing extensive pre built transformations and support for custom transformations. However, their focus is on three dimensional scientific visualization, and thus they do ....

Bruce Lucas, Gregory D. Abram, Nancy S. Collins, David A. Epstein, Donna L. Greesh, and Kevin P. McAuliffe. An architecture for a scientific visualization system. In Proceedings of IEEE Visualization

....system. A well designed data model component can significantly enhance the capabilities of the overall system. For example, the developers of OpenDX (formerly IBM Data Explorer) often cite the consistent, unified nature of the DX data model as one of the key reasons for the success of their system [13, 1]. For large data visualization, the data model can have a significant impact on system efficacy. Poorly chosen abstractions can lead to performance problems or make development awkward. Well designed abstractions can enhance code reuse and enable the coupling of components in new and interesting ....

....to access 2 the underlying discretization (mesh) of a data set. This was a problem since many visualization algorithms operate by iterating over various types of cells of the mesh. One system in particular that has been influenced by fiber bundle concepts is OpenDX (formerly IBM Data Explorer[13, 1]) Beginning with Haber et al. [8] the fiber bundle model was adapted into a model that would support a general purpose data flow visualization system. OpenDX can handle fields with node association indices 0 or , where is the base dimensionality of the field. OpenDX does not support ....

B. Lucas et al. An architecture for a scientific visualization system. In Proceedings of Visualization '92, pages 107--114. IEEE Computer Society Press, 1992.

....eventual network usage of the deployed applications. 5. Related Work. There has been a significant amount of work that falls under the first, older definition of distributed graphics. A large number of systems, ranging from established commercial products (e.g. IBM Visualization Data Explorer [14]) to research systems (e.g. PARADISE [13] and ATLAS [10] have been created to distribute interactive graphical applications over a set of machines. However, the goal of these systems is to facilitate sharing of application data between processes, with one process doing the rendering. 8 B. ....

B. LUCAS,G.D.ABRAM,N.S.COLLINS,D.A.EPSTEIN,D.L.GRESH, AND K. P. MCAULIFFE, An architecture for a scientific visualization system, in Visualization '92, October 19--23 1992, pp. 107--114.

....representation of specific computing environments. Examples of such systems include the graphical user interface to Khoros, which is a software environment for supporting research in image processing [11, 12, 13, 14] scientific programming systems like AVS [15] and IBM Data Explorer (IBM DX) [16, 17, 18], which are similar to the Khoros system; and Tioga [19] which is a visual programming system for scientific DBMS management applications. With respect to providing a graphically represented environment for the support of scientific modeling, there are several problems associated with the ....

B. Lucas, et al (1992) An Architecture for a Scientific Visualization System, Proc. 1992 IEEE Visualization Conference, Boston, MA.

....into the toolkit as modules further augmenting the toolkit s functionality for users. Los Alamos National Laboratory Technical Report #LAUR 00 1620 A C D B Figure 1: A sample data flow graph Other related parallel data flow based visualization systems include IBM Data Explorer(DX)[4, 1], AVS Express[5] and SCIRun[14] In these data flow based visualization systems we refer to a unit of execution as a module. Each module has a set of inputs and outputs. Module inputs and outputs can be interconnected so that the output of one module is passed as an input to another module. In a ....

B. Lucas et. al. An architecture for a scientific visualization system. In Proceedings of Visualization '92. IEEE Computer Society Press, 107-114.

....environment. The gap between the user s numerical data formats and the prescribed structures usually used by visualization tools is one of the fundamental outstanding problems in scientific visualization [7,15] Most of the visualization software currently in use works on prescribed data formats [2,5,9,16]. User data has to be converted into such a format. But this is time and storage expensive especially in case of large nested grids, where very often closely related to the specific application an economical data storing is possible. It seems to be impossible to set up a fairly general and ....

Lucas, B.; et. al. : An architecture for a scientific visualization system, Proc. IEEE Visualization '92

....use the data structures he is accustomed to from his numerical method. The gap between the user s numerical data formats and the structures usually used by rendering tools is a wellknown outstanding problem in scientific visualization [14, 24] Most of the frequently used visualization software [9, 12, 15, 22, 25] works on prescribed data formats. A user has to convert his own data into such a format. Well known mesh formats handling a larger class of meshes is the UCD format implemented in AVS [1, 2] and the HDF format from NCSA [16] used in the GRASPARC data management system [6] e.g. In search for ....

Lucas, B.; et. al. : An architecture for a scientific visualization system, Proc. IEEE Visualization, 1992

....a numerical code visually, or want to extract interesting features of the global geometry of the calculated solution, advanced visualization comes into play. Here the flexible 1 and interactive handling of numerical data sets is an essential ingredient of an efficient visualization environment [3, 14, 26, 38, 39]. A variety of widespread visualization tools is currently in use to visualize simulation data [1, 10, 19, 34] Object oriented concepts are taken into account to structure visualization environments [12, 32, 36] Unfortunately, for numerical methods which adapt the underlying grid and the time ....

Lucas, B.; et. al. : An architecture for a scientific visualization system, IEEE Visualization '92, 1992

....processing steps. These systems then manage the flow of data accordingly when the steps are executed. Tioga [41] is one such system, a graphical application development tool that uses the boxes and arrows notation popularized by scientific visualization systems such as AVS [49] Data Explorer [25], and Khoros [34] Tioga improves upon these systems by providing sophisticated data management using the POSTGRES database management system (DBMS) 43] In the Tioga programming model, boxes represent user defined database queries or browsers that display data, and edges between boxes represent ....

....to date, we randomly generate recipe graphs for our tests. The parameters for generating these graphs are based on conversations with Earth scientists from the Sequoia 2000 project [42] and on observations of graphs developed in Tioga and other dataflow systems such as AVS [49] Data Explorer [25], and Khoros [34] That is, we developed an algorithm and chose parameters that produced graphs that look right to users. Our first observation is that boxes in dataflow diagrams, both in Tioga and in other systems, are typically composed of groups. While groups have a relatively high degree of ....

[Article contains additional citation context not shown here]

B. Lucas, G. Abram, N. Collins, D. Epstein, et al. An architecture for a scientific visualization system. In Proc. 1992 IEEE Visualization Conference, pages 107--114, Boston, October 1992.

....of Mix Match. Finally, we show a couple of constructions and their effects. 2 Related Work In the last few years the data flow paradigm has become popular in scientific visualization. Visualization environments such as AVS [17] Iris Explorer [15] Khoros [12] apE [3] and IBM Data Explorer [10] offer many modules that perform filtering, mapping and rendering tasks that can be combined to achieve a desired visualization goal. These systems offer generality, flexibility, modularity and extensibility. They address the needs of novice, intermediate and expert users. Novices merely load and ....

B. Lucas, G. Abram, N. Collins, D. Epstein, D. Gresh, and K. McAuliffe. An architecture for a scientific visualization system. In Proceedings: Visualization'92, pages 107 -- 114. IEEE Computer Society, 1992.

....communication supports interoperability. For a more detailed discussion of DAQV, see [12] 3.2. Viz: A Visualization Programming System. Creating meaningful visualizations for use in scientific problem solving is difficult [28] General purpose visualization tools, such as Iris Explorer [24] AVS [21], and Data Explorer [6] have been well received, but do not always provide the flexibility and robustness required for visualization design and specialization. Viz was created to support rapid visualization prototyping in a system that could be extended with application specific visualization ....

B. Lucas, G. Abram, N. Collins, D. Epstein, D. Gresh, and K. McAuliffe, An Architecture for a Scientific Visualization System, in Proc. of Visualization '92, Oct. 1992, pp. 107--114.

....classes: data sources; filters to refine the data; mappers to construct an abstract geometrical representation of the data; and renderers to generate an image. This modular decomposition is the basis of a number of popular visualization systems: AVS [14] IRIS Explorer [5] IBM Data Explorer [8], apE [4] and Khoros [13] These all provide a visual programming front end, in which the user can select appropriate modules for an application, connect them together in a network and trigger execution by activating a data source. Data passes through the network of modules, from filters to ....

B. Lucas, G.D. Abram, N.S. Collins, D.A. Epstein, D.L. Gresh, and K.P. McAuliffe. An architecture for a scientific visualization system. In A.E. Kaufman and G.M. Nielson, editors, Visualization 92 Proceedings, pages 107--114. IEEE Computer Society Press, 1992.

No context found.

Bruce Lucas et al. An architecture for a scientific visualization system. In Proceedings Visualization '92 Conference, pages 107--114, 1992.

No context found.

Lucas, Bruce, Gregory D. Abram, Nancy S. Collins, David A. Epstein, Donna L. Gresh, Kevin P. McAuliffe (1992), An Architecture for a Scientific Visualization System, Proceedings of IEEE Visualization `92 , pp. 107-114.

No context found.

B. Lucas, G.D. Abram, D.A. Epstein, D.L Gresh, and K.P. McAuli#e. An architecture for a scientific visualization system. In Proc. of Visualization '92, pages 107--114, Boston, MA, October 1992. IEEE Computer Society Press.

No context found.

B. Lucas, G.D. Abram, D.A. Epstein, D.L Gresh, and K.P. McAuli#e. An architecture for a scientific visualization system. In Proc. of Visualization '92, pages 107--114, Boston, MA, October 1992. IEEE Computer Society Press.

No context found.

B. Lucas, G. D. Abram, N. S. Collins, D. A. Epstein, D. L. Gresh, and K. P. McAuli#e, "An architecture for a scientific visualization system," in Proceedings IEEE Visualization '92, pp. 107--113, Oct. 1992. Formerly IBM Visualization Data Explorer, now open source http://www.opendx.org.

No context found.

Bruce Lucas, Gregory D. Abram, Nancy S. Collins, David A. Epstein, Donna L. Gresh, and Kevin P. McAuliffe. An architecture for a scientific visualization system. In Arie E. Kaufman and Gregory M. Nielson, editors, IEEE Visualization '92, pages 107--114, Los Alamitos, California, October 1992. IEEE, IEEE Computer Society Press.

No context found.

B. Lucas, G. Abram, N. Collins, D. Epstein, D. Gresh, and K. McAuliffe. An architecture for a scientific visualization system. In Proceedings: Visualization '92, pages 107 -- 114. IEEE Computer Society, 1992.

No context found.

B. Lucas, G. D. Abram, N. S. Collins, D. A. Epstein, D. L. Gresh, and K. P. McAuliffe, "An architecture for a scientific visualization system," in Proceedings IEEE Visualization '92, pp. 107--114, Oct. 1992.

No context found.

Lucas, B., G. D. Abrams, N. S. Collins, D. A. Epstein, D. L. Gresh, and K. P. McAuliffe, 1992; An architecture for a scientific visualization system. Proc. IEEE Visualization '92, 107-114.

No context found.

B. Lucas, G. D. Abram, N. S. Collins, D. A. Epstein, D. L. Gresh, and K. P. McAuliffe, "An architecture for a scientific visualization system," in Proceedings IEEE Visualization '92, pp. 107--114, Oct. 1992.

First 50 documents  Next 50

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC