Title: Scalable Visualization in Oil/Gas Reservoir Exploration & Production
Oil and gas reservoir Exploration and Production (E&P) involve complex tasks, datasets and workflows from three main groups of inter-related disciplines: geophysics, geology and reservoir & production engineering. Visualization technology has been a key component of the increased success and efficiency across these disciplines and in all states of the field development cycle. Advances in the fields of scientific visualization, computer graphics, human-computer interaction and high-performance computing have enabled a significantly large range of reservoir visualization tasks. Today, visualization technology in oil/gas reservoir E&P faces great challenges due to the intersection of these advances with higher level of access to data application and integration, increasingly large and complex datasets, higher-degrees of uncertainty, and multi disciplinary collaborative decision-making.
Title: Beyond the digital divide - Ten good reasons for using splines
"Think analog, act digital" is a motto that is relevant to scientific computing and algorithm design in a variety of disciplines, including numerical analysis, image/signal processing, and computer graphics. Here, we will argue that cardinal splines constitute a theoretical and computational framework that is ideally matched to this philosophy, especially when the data is available on a uniform grid. We show that multidimensional spline interpolation or approximation can be performed most efficiently using recursive digital filtering techniques.
Title: Why are Graphics Systems so Fast?
Over the last decade graphics hardware has become a key component of mobile and personal computers. Most programmers understand CPUs well, but have a limited understanding of GPUs (Graphics Processing Units). GPUs are viewed as specialized hardware optimized for rendering. That view is not accurate. Instead, they are best characterized as parallel computers that combine many cores, many threads, and wide vector processing units. In this talk, I will describe the architectures of different GPUs built by AMD, NVIDIA and Intel (the new Larrabee processor). I will also discuss the programming models that are used to achieve high performance on such heterogeneous architectures. The innovative combination of processor design and programming model are why graphics systems are so fast.
In the Euclidean plane, a Delaunay triangulation can be characterized by the requirement that the circumcircle of each triangle be empty of vertices of all other triangles. For triangulating a surface S in R^3, the Delaunay paradigm has typically been employed in the form of the restricted Delaunay triangulation, where the empty circumcircle property is defined by using the Euclidean metric in R^3 to measure distances on the surface. More recently, the intrinsic (geodesic) metric of S has also been employed to define the Delaunay condition.
Dr. Jonathan Shewchuk University of California, Berkeley
"Tetrahedral Meshes with Good Dihedral Angles"
CS/VIVARIUM: 3D Geometry Reconstruction from Image Data and biomedical Applications - Hans-Christian Hege (Zuse Institute Berlin (ZIB))
Some recent advances in visual computing - Daniel Cohen-Or (Tel-Aviv University)
Presenter: Simon Lucey (Carnegie Mellon University)