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    Approaches for In Situ Computation of Moments in a Data-Parallel Environment (Unknown language)

    In: Eurographics Symposium on Parallel Graphics and Visualization ; 57-68  ; 2020

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    Feature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection as a black box detector of arbitrary feature templates of interest. In particular, we use moment invariants because they allow pattern detection independent of the specific orientation of a feature. We provide two open source implementations of a rotation invariant pattern detection algorithm for high performance computing (HPC) clusters with a distributed memory environment. The first one is a straightforward integration approach. The second one makes use of the Fourier transform and the Cross-Correlation Theorem. In this paper, we will compare the two approaches with respect to performance and flexibility and showcase results of the in situ integration with real world simulation code.

    Table of contents conference proceedings

    The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

    1
    Finding Efficient Spatial Distributions for Massively Instanced 3-d Models
    Zellmann, Stefan / Morrical, Nate / Wald, Ingo / Pascucci, Valerio et al. | 2020
    13
    Fast Multi-View Rendering for Real-Time Applications
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    25
    Moment-Based Opacity Optimization
    Zeidan, Mahmoud / Rapp, Tobias / Peters, Christoph / Dachsbacher, Carsten et al. | 2020
    35
    Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization
    Loring, Burlen / Wolf, Mathew / Kress, James / Shudler, Sergei / Gu, Junmin / Rizzi, Silvio / Logan, Jeremy / Ferrier, Nicola / Bethel, E. Wes et al. | 2020
    47
    Effective Parallelization Strategies for Scalable, High-Performance Iterative Reconstruction
    Gribble, Christiaan Paul et al. | 2020
    57
    Approaches for In Situ Computation of Moments in a Data-Parallel Environment
    Tsai, Karen C. / Bujack, Roxana / Geveci, Berk / Ayachit, Utkarsh / Ahrens, James et al. | 2020
    69
    High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing
    Zellmann, Stefan / Aumüller, Martin / Marshak, Nathan / Wald, Ingo et al. | 2020
    75
    Alternative Parameters for On-The-Fly Simplification of MergeTrees
    Werner, Kilian / Garth, Christoph et al. | 2020

    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

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