Now showing items 9-14 of 14

    • Parallel Computational Steering and Analysis for HPC Applications using a ParaView Interface and the HDF5 DSM Virtual File Driver 

      Biddiscombe, John; Soumagne, Jerome; Oger, Guillaume; Guibert, David; Piccinali, Jean-Guillaume (The Eurographics Association, 2011)
      We present a framework for interfacing an arbitrary HPC simulation code with an interactive ParaView session using the HDF5 parallel IO library as the API. The implementation allows a flexible combination of parallel ...
    • Parallel Gradient Domain Processing of Massive Images 

      Philip, Sujin; Summa, Brian; Bremer, Peer-Timo; Pascucci, Valerio (The Eurographics Association, 2011)
      Gradient domain processing remains a particularly computationally expensive technique even for relatively small images. When images become massive in size, giga or terapixel, these problems become particularly troublesome ...
    • Parallel In Situ Coupling of Simulation with a Fully Featured Visualization System 

      Whitlock, Brad; Favre, Jean M.; Meredith, Jeremy S. (The Eurographics Association, 2011)
      There is a widening gap between compute performance and the ability to store computation results. Complex scientific codes are the most affected since they must save massive files containing meshes and fields for offline ...
    • A Preview and Exploratory Technique for Large-Scale Scientific Simulations 

      Tikhonova, Anna; Yu, Hongfeng; Correa, Carlos D.; Chen, Jacqueline H.; Ma, Kwan-Liu (The Eurographics Association, 2011)
      Successful in-situ and remote visualization solutions must have minimal storage requirements and account for only a small percentage of supercomputing time. One solution that meets these requirements is to store a compact ...
    • Real-Time Ray Tracer for Visualizing Massive Models on a Cluster 

      Ize, Thiago; Brownlee, Carson; Hansen, Charles D. (The Eurographics Association, 2011)
      We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal models at real-time frame rates. Achieving this ...
    • Revisiting Parallel Rendering for Shared Memory Machines 

      Nouanesengsy, Boonthanome; Ahrens, James; Woodring, Jonathan; Shen, Han-Wei (The Eurographics Association, 2011)
      Increasing the core count of CPUs to increase computational performance has been a significant trend for the better part of a decade. This has led to an unprecedented availability of large shared memory machines. Programming ...