• Novel Graphics & Grids (Wednesday 3:30-5:00PM)
    Room A110/112
    Chair: Maxine Brown, University of Illinios

    • Title: Fast Matrix Multiplies using Graphics Hardware
    • Authors:
      E. Scott Larsen (University of North Carolina at Chapel Hill)
      David McAllister (University of North Carolina at Chapel Hill)
      Best Student Paper Finalist
    • Abstract:
      We present a technique for large matrix-matrix multiplies using low cost graphics hardware. The result is computed by literally visualizing the computations of a simple parallel processing algorithm. Current graphics hardware technology has limited precision and thus limits immediate applicability of our algorithm. We include results demonstrating proof of concept, correctness, speedup, and a simple application. This is therefore forward looking research: a technique ready for technology on the horizon.   

    • Title: Next-Generation Visual Supercomputing using PC Clusters with Volume Graphics Hardware Devices
    • Authors:
      Shigeru Muraki (:The National Institute of Advanced Industrial Science and Technology (AIST), Japan)
      Masato Ogata (Mitsubishi Precision Co., Ltd. (MPC))
      Kwan-Liu Ma (University of California, Davis)
      Kenji Koshizuka (MPC)
      Kagenori Kajihara (MPC)
      Xuezhen Liu (MPC)
      Yasutada Nagano (MPC)
      Kazuro Shimokawa (:The National Institute of Advanced Industrial Science and Technology (AIST), Japan)
    • Abstract:
      To seek a low-cost, extensible solution for the large-scale data visualization problem, a visual computing system is designed as a result of a collaboration between industry and government research laboratories in Japan, also with participation by researchers in U.S. This scalable system is a commodity PC cluster equipped with the VolumePro 500 volume graphics cards and a specially designed image compositing hardware. Our performance study shows such a system is capable of interactive rendering 512^3 and 1024^3 volume data and highly scalable. In particular, with such a system, simulation and visualization can be performed concurrently which allows scientists to monitor and tune their simulations on the fly. In this paper, both the system and hardware designs are presented.

    • Title: Global Static Indexing for Real-time Exploration of Very Large Regular Grids.
    • Authors:
      Valerio Pascucci (Lawrence Livermore National Laboratory)
      Randall Frank (Lawrence Livermore National Laboratory)
    • Abstract:
      In this paper we introduce a new indexing scheme for progressive traversal and visualization of large regular grids. We demonstrate the potential of our approach by providing a tool that displays at interactive rates planar slices of scalar field data with very modest computing resources. We obtain unprecedented results both in terms of absolute performance and, more importantly, in terms of scalability. On a laptop computer we provide real time interaction with a 2048^3 grid (8 Giga-nodes) using only 20MB of memory. On an SGI Onyx we slice interactively an 8192^3 grid (0.5 tera-nodes) using only 60MB of memory. The scheme relies simply on the determination of an appropriate reordering of the rectilinear grid data and a progressive construction of the output slice. The reordering minimizes the amount of I/O performed during the out-of-core computation. The progressive and asynchronous computation of the output provides flexible quality/speed tradeoffs and a time-critical and interruptible user interface.