activity
20172026
most cited2022 Review of Data-Driven Plasma Science

85 citations · 184 across the 35 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

cs.DC2024

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest

Xuan Wu, Qian Gong, Jieyang Chen +4

The unprecedented amount of scientific data has introduced heavy pressure on the current data storage and transmission systems. Progressive compression has been proposed to mitigat…

cs.CV2024

A framework for compressing unstructured scientific data via serialization

Viktor Reshniak, Qian Gong, Rick Archibald +2

We present a general framework for compressing unstructured scientific data with known local connectivity. A common application is simulation data defined on arbitrary finite eleme…

cs.DC2024

AI Surrogate Model for Distributed Computing Workloads

David K. Park, Yihui Ren, Ozgur O. Kilic +18

Large-scale international scientific collaborations, such as ATLAS, Belle II, CMS, and DUNE, generate vast volumes of data. These experiments necessitate substantial computational…

astro-ph.IM2024★ 2 cited

Optimising the Processing and Storage of Visibilities using lossy compression

Richard Dodson, Alex Williamson, Qian Gong +7

The next-generation radio astronomy instruments are providing a massive increase in sensitivity and coverage, through increased stations in the array and frequency span. Two primar…

astro-ph.IM2024

Deep Investigation of Neutral Gas Origins (DINGO): Options for the Processing and Storage of Radio Astronomy Data for robust Deep Spectral Line Imaging in the SKA-Era using uv-Grids

Alexander Williamson, Richard Dodson, Pascal J. Elahi +9

The next generation of radio astronomy telescopes are challenging existing data analysis paradigms, as they have an order of magnitude more antennas and larger bandwidth. Foremost…

cs.PF2024

Streaming Data in HPC Workflows Using ADIOS

Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru +12

The "IO Wall" problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionall…