Search Results - "Fulp, Megan Hickman"
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Accelerated dynamic data reduction using spatial and temporal properties
Published in The international journal of high performance computing applications (01-09-2023)“…Due to improvements in high-performance computing (HPC) capabilities, many of today’s applications produce petabytes worth of data, causing bottlenecks within…”
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Journal Article -
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Estimating Potential Error in Sampling Interpolation
Published in 2022 IEEE International Conference on Big Data (Big Data) (17-12-2022)“…As high-performance computing systems rapidly advance, the volumes of scientific data produced are a prominent issue. Data reduction methods, including…”
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Conference Proceeding -
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Exploring Data Reduction Techniques for Additive Manufacturing Analysis
Published in 2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD) (01-11-2022)“…Additive manufacturing is a rapidly growing area that has the potential to revolutionize society. In order to better understand and improve this process,…”
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Conference Proceeding -
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cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Published 21-09-2020“…Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead…”
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Journal Article -
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Dynamic Reduction of Scientific Data Through Spatiotemporal Properties
Published 01-01-2021“…Improvements in High-Performance Computing (HPC) has enabled researchers to develop more sophisticated simulations and applications which solve previously…”
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Dissertation -
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The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale
Published in The international journal of high performance computing applications (06-10-2024)“…A significant challenge on an exascale computer is the speed at which we compute results exceeds by many orders of magnitude the speed at which we save these…”
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Journal Article -
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Combining Spatial and Temporal Properties for Improvements in Data Reduction
Published in 2020 IEEE International Conference on Big Data (Big Data) (10-12-2020)“…Due to I/O bandwidth limitations, intelligent in situ data reduction methods are needed to enable post-hoc workflows. Current state-of-the-art sampling methods…”
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Conference Proceeding