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In this work we present a hardware-accelerated direct volume rendering system for visualizing multivariate wave functions in semiconducting quantum dot (QD) simulations. The simulation data contains the probability density values of multiple electron orbitals for up to tens of millions of atoms, computed by the NEMO3- D quantum device simulator software run on large-scale cluster architectures. These atoms form two interpenetrating crystalline Face Centered Cubic lattices (FCC), where each FCC cell comprises the eight corners of a cubic cell and six additional face centers. We have developed compact representation techniques for the FCC lattice within PC graphics hardware texture memory, hardware-accelerated linear and cubic reconstruction schemes, and new multi-field rendering techniques utilizing logarithmic scale transfer functions. Our system also enables the user to drill down through the simulation data and execute statistical queries using general-purpose computing on the GPU (GPGPU).

Master’s in Computer Science, Purdue University, Dec. 2005 PhD student, Electrical and Computer Engineering, Purdue University.

Hist research interests are graphics hardware accelerated interactive visualization and rendering techniques, and GPU-accelerated general purpose computing methods. His current work focuses on hardware-accelerated interactive volume rendering of scientific data, especially large scale simulations, as well as hardware-accelerated remote rendering over WAN and LAN.

If you reference this work in a publication, please cite as follows:

• Qiao, Wei (2005), "VolQD: Graphics Hardware Accelerated Interactive Visual Analytics of Multi-million Atom Nanoelectronics Simulations," http://www.nanohub.org/resources/789/.

  BibTex | EndNote

1. algorithms
2. cyberinfrastructure
3. quantum dots
4. research seminar
5. visualization