- Conference Chair:
- Bernd Hentschel,
- Program Chairs:
- Hank Childs,
- Fernando Cucchietti
No abstract available.
Proceeding Downloads
Direct raytracing of particle-based fluid surfaces using anisotropic kernels
Particle-based simulation models have assumed a significant role in the numerical computation of high-fidelity transient flow and continuum mechanical problems. However, direct visualization of surfaces from particle data without intermediary discrete ...
VisIt-OSPRay: toward an exascale volume visualization system
- Qi Wu,
- Will Usher,
- Steve Petruzza,
- Sidharth Kumar,
- Feng Wang,
- Ingo Wald,
- Valerio Pascucci,
- Charles D. Hansen
Large-scale simulations can easily produce data in excess of what can be efficiently visualized using production visualization software, making it challenging for scientists to gain insights from the results of these simulations. This trend is expected ...
Robust iterative find-next-hit ray traversal
We present two different methods for improving the performance and robustness of ray tracing algorithms that require iterating through multiple successive intersections along the same ray. Our methods do so without ever missing intersections, even in ...
Performance-portable particle advection with VTK-m
Particle advection is the fundamental kernel behind most vector field visualization methods. Yet, the efficient parallel computation of large amounts of particle traces remains challenging. This is exacerbated by the variety of hardware trends in today'...
Dense texture flow visualization using data-parallel primitives
Recent trends in supercomputing towards massively threaded on-node processors to increase performance has also introduced fragmented software support. In response to this changing landscape, new scientific visualization packages have been developed to ...
Revisiting the evaluation of in situ lagrangian analysis
In situ usage of Lagrangian techniques has proven to be superior with respect to emerging supercomputing trends than the traditional Eulerian approach for scientific flow analysis. However, previous studies have not informed two key points: (1) the ...
Rapid k-d tree construction for sparse volume data
While k-d trees are known to be effective for spatial indexing of sparse 3-D volume data, full reconstruction, e.g. due to changes to the alpha transfer function during rendering, is usually a costly operation with this hierarchical data structure. We ...
Interactive visual analysis of multi-dimensional metamodels
In the simulation of manufacturing processes, complex models are used to examine process properties. To save computation time, so-called metamodels serve as surrogates for the original models. Metamodels are inherently difficult to interpret, because ...
La VALSE: scalable log visualization for fault characterization in supercomputers
We design and implement La VALSE---a scalable visualization tool to explore tens of millions of records of reliability, availability, and serviceability (RAS) logs---for IBM Blue Gene/Q systems. Our tool is designed to meet various analysis requirements,...