Software Systems
           
Event Type Start Time End Time Rm # Chair  

 

Paper 1:30PM 2:00PM 40-41 Eileen Kraemer (University of Georgia)
 
Title:

Enabling the Efficient Use of SMP Clusters: The GAMESS/DDI Model
  Speakers/Presenter:
Ryan M. Olson (Iowa State University), Michael W. Schmidt (Iowa State University), Mark S. Gordon (Iowa State University), Alistair P. Rendell (Australian National University)

 

Paper 2:00PM 2:30PM 40-41 Eileen Kraemer (University of Georgia)
 
Title:

Remote Visualization by Browsing Image Based Databases with Logistical Networking
  Speakers/Presenter:
Jin Ding (University of Tennessee), Jian Huang (University of Tennessee), Micah Beck (University of Tennessee), Shaotao Liu (University of Tennessee), Terry Moore (University of Tennessee), Stephen Soltesz (University of Tennessee)

 

Paper 2:30PM 3:00PM 40-41 Eileen Kraemer (University of Georgia)
 
Title:

Visualizing Very Large-Scale Earthquake Simulations
  Speakers/Presenter:
Kwan-Liu Ma (University of California at Davis), Aleksander Stompel (University of California at Davis), Jacobo Bielak (Carnegie Mellon University ), Omar Ghattas (Carnegie Mellon University), Eui Joong Kim (Carnegie Mellon University)
             

 

     
  Session: Software Systems
  Title: Enabling the Efficient Use of SMP Clusters: The GAMESS/DDI Model
  Chair: Eileen Kraemer (University of Georgia)
  Time: Tuesday, November 18, 1:30PM - 2:00PM
  Rm #: 40-41
  Speaker(s)/Author(s):  
  Ryan M. Olson (Iowa State University), Michael W. Schmidt (Iowa State University), Mark S. Gordon (Iowa State University), Alistair P. Rendell (Australian National University)
   
  Description:
  An important advance in cluster computing is the evolution from single processor clusters to multi-processor SMP clusters. Due to the increased complexity in the memory model on SMP clusters, new approaches are needed for applications that make use of distributed-memory paradigms. This paper presents new communications software developments that are designed to take advantage of SMP cluster hardware. Although the specific focus is on the central field of computational chemistry and materials science, as embodied in the popular electronic structure package GAMESS (General Atomic and Molecular Electronic Structure System), the impact of these new developments will be far broader in scope. Following a summary of the essential features of the distributed data interface (DDI) in the current implementation of GAMESS, the new developments for SMP clusters are described. The advantages of these new features are illustrated using timing benchmarks on several hardware platforms, using a typical computational chemistry application.

This paper has been nominated for the Best Student Paper of SC2003 award.
  Link: Download PDF
   

 

     
  Session: Software Systems
  Title: Remote Visualization by Browsing Image Based Databases with Logistical Networking
  Chair: Eileen Kraemer (University of Georgia)
  Time: Tuesday, November 18, 2:00PM - 2:30PM
  Rm #: 40-41
  Speaker(s)/Author(s):  
  Jin Ding (University of Tennessee), Jian Huang (University of Tennessee), Micah Beck (University of Tennessee), Shaotao Liu (University of Tennessee), Terry Moore (University of Tennessee), Stephen Soltesz (University of Tennessee)
   
  Description:
  Although Image Based Rendering (IBR) techniques using plenoptic functions have some important advantages over other approaches to the visualization of large datasets, they depend on the interactive use of huge IBR databases, which creates corresponding problems with network latency and server load. Consequently, IBR techniques, such as Light Fields, have been largely ignored for remote visualization. In this paper we describe the application of Logistical Networking, a new approach to deploying storage as a shared communication resource, to create a remote visualization system based on Light Fields. Our system extends existing work by employing a modified method of parameterization and data organization that supports more efficient prefetching, caching and loss-less compression. Using this approach, we have been able to interactively browse multi-gigabyte, high-resolution Light Field databases across the Internet with latencies observed by the user that are comparable to local area network access.
  Link: Download PDF
   

 

     
  Session: Software Systems
  Title: Visualizing Very Large-Scale Earthquake Simulations
  Chair: Eileen Kraemer (University of Georgia)
  Time: Tuesday, November 18, 2:30PM - 3:00PM
  Rm #: 40-41
  Speaker(s)/Author(s):  
  Kwan-Liu Ma (University of California at Davis), Aleksander Stompel (University of California at Davis), Jacobo Bielak (Carnegie Mellon University ), Omar Ghattas (Carnegie Mellon University), Eui Joong Kim (Carnegie Mellon University)
   
  Description:
  This paper presents a new parallel rendering algorithm and its performance for the visualization of time-varying unstructured volume data generated from very large-scale earthquake simulations. The algorithm is used to visualize 3D seismic wave propagation generated from a 0.5 Hz simulation of the Northridge earthquake, which is the highest resolution volume visualization of an earthquake simulation performed to date. This scalable high-fidelity visualization solution we provide to the scientists will allow them to explore in the temporal, spatial, and visualization domain of their data at high resolution. This new high resolution explorability, likely not presently available to most computational science groups, will help lead to many new insights.
  Link: Download PDF