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

@article{Moreland2016VTKmAT,
  title={VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures},
  author={Kenneth Moreland and Christopher M. Sewell and William Usher and Li-Ta Lo and Jeremy S. Meredith and David Pugmire and James Kress and Hendrik A. Schroots and Kwan-Liu Ma and Hank Childs and Matthew Larsen and Chun-Ming Chen and Robert Maynard and Berk Geveci},
  journal={IEEE Computer Graphics and Applications},
  year={2016},
  volume={36},
  pages={48-58}
}
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… CONTINUE READING
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