Homepage of Attila Gyulassy



Affiliations:
Center for Applied Scientific Computing Contact:

Info: My academic adviser is Bernd
Hamann. I have been supported in my studies first by a GANN
fellowship, then in the Lawrence Scholar Program with my
mentor Valerio
Pascucci at Lawrence Livermore National Laboratory. I also
have worked closely with PeerTimo Bremer and Vijay
Natarajan, who have helped me immensely. 
Publications:
Practical
Considerations in MorseSmale Complex Computation Attila Gyulassy, PeerTimo Bremer, Valerio Pascucci, Bernd Hamann. to appear in TopoInViz 2009 
Combinatorial Construction of
MorseSmale Complexes for Data Analysis and Visualization. Attila Gyulassy, PhD Dissertation, University of California, Davis. 
A Practical Approach to Morse Smale
Complex Computation: Scalability
and Generality. Attila Gyulassy, PeerTimo Bremer, Valerio Pascucci, Bernd Hamann: IEEE Trans. Vis. Comput. Graph. (IEEE Visualization 2008), 14(6): 16191626, 2008. 
Topologically Clean Distance Fields. Attila Gyulassy, Mark A. Duchaineau, Vijay Natarajan, Valerio Pascucci, Eduardo Bringa, Andrew Higginbotham, Bernd Hamann: IEEE Trans. Vis. Comput. Graph. (IEEE Visualization 2007), 13(6): 14321439, 2007. 
Efficient Computation of MorseSmale Complexes for Threedimensional Scalar Functions. Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Bernd Hamann: IEEE Trans. Vis. Comput. Graph. (IEEE Visualization 2007), 13(6): 14401447, 2007. 
A Topological Approach to Simplification of ThreeDimensional Scalar Functions. Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, PeerTimo Bremer, Bernd Hamann IEEE Trans. Vis. Comput. Graph. (by invitation) 12(4): 474484 (2006) 
Topologybased Simplification for Feature Extraction from 3D Scalar Fields. Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, PeerTimo Bremer, Bernd Hamann: IEEE Visualization (IEEE Visualization 2005), pp 535542, 2005. 
Time and Spaceefficient Error Calculation for Multiresolution Direct Volume Rendering. Attila G. Gyulassy, Lars Linsen, and Bernd Hamann: In: Torsten Möller, Bernd Hamann, and Robert D. Russell, editors; Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration, SpringerVerlag, Heidelberg, Germany, 2008. 
Memory Hierarchy Optimizations and Performance Bounds for Sparse AtA Matrix Multiply Rich Vuduc, Attila Gyulassy, James Demmel, and Katherine A. Yelick: International Conference on Computational Science 2003: 705514 