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MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns

https://doi.org/10.1109/icpp.2012.39

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization

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ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression

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Using Subfiling to Improve Programming Flexibility and Performance of Parallel Shared-file I/O

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An Implementation and Evaluation of Client-Side File Caching for MPI-IO

inferredcites →https://doi.org/10.1109/ipdps.2009.5161029openalex-snapshot

Small-file access in parallel file systems

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Making resonance a common case: A high-performance implementation of collective I/O on parallel file systems

inferredcites →https://doi.org/10.1109/ipdps.2010.5470454openalex-snapshot

PreDatA – preparatory data analytics on peta-scale machines

inferredcites →https://doi.org/10.1109/sc.2008.5222722openalex-snapshot

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Fast and Efficient Compression of Floating-Point Data

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Parallel netCDF

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Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)

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DataStager

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ArrayStore

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Querying multi-dimensional data indexed using the Hilbert space-filling curve

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Global static indexing for real-time exploration of very large regular grids

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Using MPI-2

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Usage Pattern-Driven Dynamic Data Layout Reorganization

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2022 Review of Data-Driven Plasma Science

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TopoSZ: Preserving Topology in Error-Bounded Lossy Compression

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EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management

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Pass-efficient methods for compression of high-dimensional turbulent flow data

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