Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations

Farhan Tauheed
2014
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Farhan Tauheed
2014
Theses

Source officielle

Publications associées (6)

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https://infoscience.epfl.ch/entities/publication/14837f29-1d83-4d96-86be-4cca9daf1407

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Publications associées (6)

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As data sizes continue to expand, the challenge of conducting meaningful analysis grows. Utilizing I/O (Input/Output) libraries, such as HDF5 (Hierarchical Data Format) and ADIOS2 (Adaptable IO System), facilitates the filtering of raw data, with prior res ...

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This paper presents a novel hybrid framework for generating and updating a synthetic population. We call it hybrid because it combines model-based and data-driven approaches. Existing generators produce a snapshot of synthetic data that becomes outdated ov ...

IEEE2024

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Performance-critical industrial applications, including large-scale program, network, and distributed system analyses, are increasingly reliant on recursive queries for data analysis. Yet traditional relational algebra-based query optimization techniques d ...

IEEE2024