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

Kenneth Moreland, Christopher Sewell, William Usher, Li-ta Lo, Jeremy Meredith, David Pugmire, James Kress, Hendrik Schroots, Kwan-Liu Ma, Hank Childs, Matthew Larsen, Chun-Ming Chen, Robert Maynard, and Berk Geveci

In IEEE Computer Graphics and Applications, 2016.

Abstract

One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. 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. Our current production scientific visualization software is not designed for these new types of architectures. 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.

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BibTeX

      @article{Moreland_VTKm_2016,
  author={K. Moreland and C. Sewell and W. Usher
    and L. t. Lo and J. Meredith and D. Pugmire and J. Kress
    and H. Schroots and K. L. Ma and H. Childs and M. Larsen
    and C. M. Chen and R. Maynard and B. Geveci},
  journal={{IEEE} {Computer} {Graphics} and {Applications}},
  title={{VTK-m}: {Accelerating} the {Visualization} {Toolkit} for {Massively} {Threaded} {Architectures}},
  year={2016}
}