High performance computing has become accepted as a tool that can be used to solve many large scale computational problems. Because of the complexity of the problems associated with high performance computing, visualization of the output of high performance computing applications has always been an important factor in providing a complete problem solving environment for the high performance computing user. As visualization technology advances, it is important to consider what impacts those advances will have on the integration of high performance computing and visualization. Virtual environments are the most recent, and arguably the most powerful, visualization environments in use today. In this paper we analyze the current state of the res...
Physically-based computer graphics offers the potential of achieving high-fidelity virtual environme...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
Application scientists face a challenge -- the need to analyze and understand ever larger and comple...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
The research described in this thesis was carried out in the Computer Graphics & CAD/CAM group at De...
Expected R&D trends for computer graphics in the 90's are outlined in this report. It focuses on thr...
A network of supercomputers and high-performance workstations appears to be the only reasonable way ...
Expected R+D trends for computer graphics in the 90's are outlined in this report. It focuses on thr...
In the first week of January 2014 Schloss Dagstuhl hosted a Perspectives Workshop on “ConnectingPerf...
The problem of dealing with the graphical representation of 3D environments by means of computer sys...
This thesis covers research on new and alternative ways of inter-action with computers. Virtual Real...
The content of this paper describes the work carried out in the authors´ laboratory to create a conc...
Scientists working with large datasets without a desktop with advanced capacity may not be able to v...
Although visualization in scientific computing has been a field of intensive progress during the las...
Today we can have huge datasets resulting from computer simulations (CFD, physics, chemistry, etc) a...
Physically-based computer graphics offers the potential of achieving high-fidelity virtual environme...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
Application scientists face a challenge -- the need to analyze and understand ever larger and comple...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
The research described in this thesis was carried out in the Computer Graphics & CAD/CAM group at De...
Expected R&D trends for computer graphics in the 90's are outlined in this report. It focuses on thr...
A network of supercomputers and high-performance workstations appears to be the only reasonable way ...
Expected R+D trends for computer graphics in the 90's are outlined in this report. It focuses on thr...
In the first week of January 2014 Schloss Dagstuhl hosted a Perspectives Workshop on “ConnectingPerf...
The problem of dealing with the graphical representation of 3D environments by means of computer sys...
This thesis covers research on new and alternative ways of inter-action with computers. Virtual Real...
The content of this paper describes the work carried out in the authors´ laboratory to create a conc...
Scientists working with large datasets without a desktop with advanced capacity may not be able to v...
Although visualization in scientific computing has been a field of intensive progress during the las...
Today we can have huge datasets resulting from computer simulations (CFD, physics, chemistry, etc) a...
Physically-based computer graphics offers the potential of achieving high-fidelity virtual environme...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
Application scientists face a challenge -- the need to analyze and understand ever larger and comple...