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Usage Pattern-Driven Dynamic Data Layout Reorganization

https://doi.org/10.1109/ccgrid.2016.15
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-07518-1_19openalex-snapshot
RADAR: Runtime Asymmetric Data-Access Driven Scientific Data Replication
inferredcites →https://doi.org/10.1007/978-3-319-09873-9_21openalex-snapshot
Improving Read Performance with Online Access Pattern Analysis and Prefetching
inferredcites →https://doi.org/10.1016/j.future.2013.12.022openalex-snapshot
Towards minimizing disk I/O contention: A partitioned file assignment approach
inferredcites →https://doi.org/10.1016/j.jcp.2012.08.037openalex-snapshot
Adaptive mesh, finite volume modeling of marine ice sheets
inferredcites →https://doi.org/10.1021/ac402540aopenalex-snapshot
OpenMSI: A High-Performance Web-Based Platform for Mass Spectrometry Imaging
inferredcites →https://doi.org/10.1063/1.2338775openalex-snapshot
Gyro-kinetic simulation of global turbulent transport properties in tokamak experiments
inferredcites →https://doi.org/10.1088/1742-6596/16/1/077openalex-snapshot
FastBit: an efficient indexing technology for accelerating data-intensive science
inferredcites →https://doi.org/10.1088/1749-4699/2/1/015001openalex-snapshot
Terascale direct numerical simulations of turbulent combustion using S3D
inferredcites →https://doi.org/10.1109/bigdata.2015.7363778openalex-snapshot
Spatially clustered join on heterogeneous scientific data sets
inferredcites →https://doi.org/10.1109/ccgrid.2003.1199366openalex-snapshot
Improving access to multi-dimensional self-describing scientific datasets
inferredcites →https://doi.org/10.1109/cluster.2011.18openalex-snapshot
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization
inferredcites →https://doi.org/10.1109/icde.1994.283048openalex-snapshot
Efficient organization of large multidimensional arrays
inferredcites →https://doi.org/10.1109/icpp.2012.39openalex-snapshot
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns
inferredcites →https://doi.org/10.1109/ipdps.2013.114openalex-snapshot
Pattern-Direct and Layout-Aware Replication Scheme for Parallel I/O Systems
inferredcites →https://doi.org/10.1109/ipdpsw.2014.190openalex-snapshot
Model-Driven Data Layout Selection for Improving Read Performance
inferredcites →https://doi.org/10.1109/sc.2012.92openalex-snapshot
Parallel I/O, analysis, and visualization of a trillion particle simulation
inferredcites →https://doi.org/10.1109/wsc.2005.1574270openalex-snapshot
Performance Prediction of Large-Scale Parallel Discrete Event Models of Physical Systems
inferredcites →https://doi.org/10.1145/1807167.1807271openalex-snapshot
Overview of sciDB
inferredcites →https://doi.org/10.1145/1996130.1996139openalex-snapshot
Six degrees of scientific data
inferredcites →https://doi.org/10.1145/2063384.2063425openalex-snapshot
ISABELA-QA
inferredcites →https://doi.org/10.1145/2110205.2110208openalex-snapshot
Detecting atmospheric rivers in large climate datasets
inferredcites →https://doi.org/10.1145/2125636.2125640openalex-snapshot
Scientific data services
inferredcites →https://doi.org/10.1145/2538542.2538563openalex-snapshot
SDS
inferredcites →https://doi.org/10.1523/jneurosci.1219-14.2014openalex-snapshot
Control of Spoken Vowel Acoustics and the Influence of Phonetic Context in Human Speech Sensorimotor Cortex
inferredcites →https://doi.org/10.5555/1162708.1162772openalex-snapshot
Performance prediction of large-scale parallel discrete event models of physical systems

What points at this work

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

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HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards
inferred← citeshttps://doi.org/10.1109/ccgrid54584.2022.00013openalex-snapshot
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00377openalex-snapshot
Kondo: Efficient Provenance-Driven Data Debloating
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00122openalex-snapshot
A Migratory Heterogeneity-Aware Data Layout Scheme for Parallel File Systems
inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00035openalex-snapshot
DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection
inferred← citeshttps://doi.org/10.1109/lascas.2019.8667548openalex-snapshot
Clip Clustering for Early Lithographic Hotspot Classification
inferred← citeshttps://doi.org/10.1109/tc.2018.2831689openalex-snapshot
A Cost-Effective Distribution-Aware Data Replication Scheme for Parallel I/O Systems
inferred← citeshttps://doi.org/10.1109/tc.2019.2946135openalex-snapshot
Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication
inferred← citeshttps://doi.org/10.1109/tpds.2019.2948901openalex-snapshot
A Holistic Heterogeneity-Aware Data Placement Scheme for Hybrid Parallel I/O Systems
inferred← citeshttps://doi.org/10.1109/tpds.2021.3100784openalex-snapshot
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization
inferred← citeshttps://doi.org/10.1145/3078597.3078599openalex-snapshot
ArrayUDF
inferred← citeshttps://doi.org/10.1145/3335783.3335805openalex-snapshot
Terabyte-scale Particle Data Analysis
inferred← citeshttps://doi.org/10.1145/3458817.3476186openalex-snapshot
Systematically inferring I/O performance variability by examining repetitive job behavior
inferred← citeshttps://doi.org/10.1145/3698038.3698526openalex-snapshot
A Data Optimizer for Region-Aware Self-describing Files in Scientific Computing
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