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Title: Final Report. Institute for Ultralscale Visualization

The SciDAC Institute for Ultrascale Visualization brought together leading experts from visualization, high-performance computing, and science application areas to make advanced visualization solutions for SciDAC scientists and the broader community. Over the five-year project, the Institute introduced many new enabling visualization techniques, which have significantly enhanced scientists’ ability to validate their simulations, interpret their data, and communicate with others about their work and findings. This Institute project involved a large number of junior and student researchers, who received the opportunities to work on some of the most challenging science applications and gain access to the most powerful high-performance computing facilities in the world. They were readily trained and prepared for facing the greater challenges presented by extreme-scale computing. The Institute’s outreach efforts, through publications, workshops and tutorials, successfully disseminated the new knowledge and technologies to the SciDAC and the broader scientific communities. The scientific findings and experience of the Institute team helped plan the SciDAC3 program.
 [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [6] ;  [7]
  1. Univ. of California, Davis, CA (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States)
  3. NVIDIA Corp., Santa Clara, CA (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  5. Argonne National Lab. (ANL), Argonne, IL (United States)
  6. The Ohio State Univ., Columbus, OH (United States)
  7. Rutgers Univ., New Brunswick, NJ (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Technical Report
Research Org:
Univ. of California, Davis, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21) SciDAC
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING Visualization; High Performance Computing; Data Management