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VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures

Journal Article · · IEEE Computer Graphics and Applications
DOI:https://doi.org/10.1109/mcg.2016.48· OSTI ID:1257810
 [1];  [2];  [3];  [2];  [4];  [4];  [5];  [6];  [7];  [5];  [8];  [9];  [10];  [10]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of Utah, Salt Lake City, UT (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Univ. of Oregon, Eugene, OR (United States)
  6. Intel, Santa Clara, CA (United States)
  7. Univ. of California, Davis, CA (United States)
  8. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  9. The Ohio State Univ., Columbus, OH (United States)
  10. Kitware, Clifton Park, NY (United States)

Execution on massively threaded processors is one of the most critical challenges for high-performance computing (HPC) scientific visualization. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on new processor types optimized for execution bandwidth over latency hiding. Moreover, our current production scientific visualization software is not designed for these new types of architectures. In order to address this issue, the VTK-m framework serves as a container for algorithms, provides flexible data representation, and simplifies the design of visualization algorithms on new and future computer architecture.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1257810
Alternate ID(s):
OSTI ID: 1366945
OSTI ID: 1457265
Report Number(s):
SAND--2016-1719J; 619843
Journal Information:
IEEE Computer Graphics and Applications, Journal Name: IEEE Computer Graphics and Applications Journal Issue: 3 Vol. 36; ISSN 0272-1716
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (1)

Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1 journal January 2019

Figures / Tables (11)


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