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CSMD computer scientist Katie Schuman

CSMD computer scientist Katie Schuman is one of the three winners of the 2020 Early Career Researcher Award for Excellence in High Performance Computing, or HPC, through the Institute of Electrical and Electronics Engineers Computer Society, or IEEE-CS.

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Research

3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication Computer Science and Mathematics ORNL
3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication
Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks Computer Science and Mathematics ORNL
Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks
Improving In Transit and In Situ Analysis and Visualization Computer Science and Mathematics ORNL
Improving In Transit and In Situ Analysis and Visualization
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Recent Research Highlights

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Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer
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PLEXUS: A Pattern-Oriented Runtime System Architecture for Resilient Extreme-Scale High-Performance Computing Systems
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Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale
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Advanced Health Information Technology Analytic Framework and Application to Hazard Detection
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Robust learning with implicit networks
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Feature-driven exemplar-based nonlocal image inpainting

Latest Software

  • Tasmanian
  • UnifyCR
  • ADIOS 1.X
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Upcoming Events

Dr. Vasileios Maroulas
Statistics, Topology, and Data Analysis December 19, 2020 Oak Ridge, Tennessee Learn more
Dr. Jarom David Hogue
Efficient Inversion of Large-scale Problems Exploiting Structure and Randomization December 3, 2020 Oak Ridge, Tennessee Learn more

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