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	SCHEDULE: NOV 11-17, 2006 From Mesh Generation to Scientific Visualization: An End-to-End Approach to Parallel Supercomputing Session: Scalable Systems Software Event Type: Paper, Best Student Paper Finalist Time: 2:30pm - 3:00pm Session Chair: Elisa Heymann Author(s): Tiankai Tu, Hongfeng Yu, Leonardo Ramirez-Guzman, Jacobo Bielak, Omar Ghattas, Kwan-Liu Ma, David R. O'Hallaron Location: 18-19 Abstract: Traditionally, parallel supercomputing has focused on the inner kernel of scientific simulations: the solver. The front and back ends of the simulation pipeline--problem description and interpretation of the output--have taken a back seat to the solver when it comes to attention paid to scalability and performance, and are often relegated to offline, sequential computation. As the largest simulations move beyond the realm of the terascale and into the petascale, this decomposition in tasks and platforms becomes increasingly untenable. We propose an end-to-end approach in which all simulation components--meshing, partitioning, solver, and visualization--are tightly coupled and execute in parallel with shared data structures and no intermediate I/O. We present our implementation of this new approach in the context of octree-based finite element simulation of earthquake ground motion. Performance evaluation on up to 2048 processors demonstrates the ability of the end-to-end approach to overcome the scalability bottlenecks of the traditional approach. This paper can be found in the ACM and IEEE Digital Libaries Click here for ACM Click here for IEEE Chair/ Author Details: Elisa Heymann (Chair) Universitat Autonoma de Barcelona Tiankai Tu Carnegie Mellon University Hongfeng Yu University of California, Davis Leonardo Ramirez-Guzman Carnegie Mellon University Jacobo Bielak Carnegie Mellon University Omar Ghattas University of Texas at Austin Kwan-Liu Ma University of California, Davis David R. O'Hallaron Carnegie Mellon University
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