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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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    Area of Science:

    • Computer Science
    • Scientific Computing
    • Data Visualization

    Background:

    • High-performance computing (HPC) systems are essential for scientific discovery but face increasing risks of silent data corruption due to growing scale and complexity.
    • Silent data corruption, caused by errors like bit-flips, can corrupt program outputs without detection, posing a significant challenge to the reliability of scientific computations.
    • Analyzing the resiliency of HPC applications to silent data corruption is difficult due to the large number of computational units and the complex, hard-to-interpret nature of error propagation.

    Purpose of the Study:

    • To develop and present an interactive visualization system designed to help high-performance computing researchers understand application resiliency.
    • To enable the comparison of error propagation patterns within HPC applications.
    • To facilitate the exploration of spatial and temporal correlations in error propagation.

    Main Methods:

    • The proposed system models an application's error propagation by constructing and visualizing its fault tolerance boundary.
    • It incorporates interactive designs to allow domain experts to efficiently explore error propagation.
    • The system integrates nonmonotonic error propagation analysis with adjustable graph visualization for detailed examination.

    Main Results:

    • The interactive visualization system effectively models error propagation, aiding in the study of program resiliency.
    • Domain experts can efficiently explore complex spatial and temporal correlations between errors using the system's interactive features.
    • The integrated analysis helps in understanding error mitigation and amplification within HPC applications.

    Conclusions:

    • The developed interactive visualization system provides a valuable tool for HPC researchers to assess application resiliency against silent data corruption.
    • The system enhances the understanding of complex error propagation mechanisms in extreme-scale computing environments.
    • It empowers domain experts to investigate the causes of error amplification or mitigation, improving the reliability of scientific discoveries.