On the public citation graph
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows
0 signed · 60 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.3125openalex-snapshot
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks
inferredcites →https://doi.org/10.1007/s10586-011-0162-yopenalex-snapshot
DataSpaces: an interaction and coordination framework for coupled simulation workflows
inferredcites →https://doi.org/10.1007/s10586-014-0396-6openalex-snapshot
In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows
inferredcites →https://doi.org/10.1088/0029-5515/42/5/313openalex-snapshot
A design retrospective of the DIII-D tokamak
inferredcites →https://doi.org/10.1088/0029-5515/49/11/115021openalex-snapshot
Full-f gyrokinetic particle simulation of centrally heated global ITG turbulence from magnetic axis to edge pedestal top in a realistic tokamak geometry
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/cluster.2010.43openalex-snapshot
Computing Contingency Statistics in Parallel: Design Trade-Offs and Limiting Cases
inferredcites →https://doi.org/10.1109/cluster.2014.6968744openalex-snapshot
POSTER: Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows
inferredcites →https://doi.org/10.1109/clustr.2006.311897openalex-snapshot
Efficient Data-Movement for Lightweight I/O
inferredcites →https://doi.org/10.1109/fccm.2013.46openalex-snapshot
Minerva: Accelerating Data Analysis in Next-Generation SSDs
inferredcites →https://doi.org/10.1109/hipc.2012.6507512openalex-snapshot
A scalable messaging system for accelerating discovery from large scale scientific simulations
inferredcites →https://doi.org/10.1109/icdcs.2011.33openalex-snapshot
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
inferredcites →https://doi.org/10.1109/ipdps.2010.5470454openalex-snapshot
PreDatA – preparatory data analytics on peta-scale machines
inferredcites →https://doi.org/10.1109/ipdps.2011.120openalex-snapshot
Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces
inferredcites →https://doi.org/10.1109/ipdps.2012.122openalex-snapshot
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform
inferredcites →https://doi.org/10.1109/ldav.2011.6092178openalex-snapshot
Toward simulation-time data analysis and I/O acceleration on leadership-class systems
inferredcites →https://doi.org/10.1109/mcg.2009.120openalex-snapshot
In Situ Visualization at Extreme Scale: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/pacificvis.2011.5742377openalex-snapshot
Dual space analysis of turbulent combustion particle data
inferredcites →https://doi.org/10.1109/sc.2010.28openalex-snapshot
Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures
inferredcites →https://doi.org/10.1109/sc.2012.31openalex-snapshot
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
inferredcites →https://doi.org/10.1109/tc.2013.114openalex-snapshot
OFWAR: Reducing SSD Response Time Using On-Demand Fast-Write-and-Rewrite
inferredcites →https://doi.org/10.1109/tvcg.2008.140openalex-snapshot
Importance-Driven Time-Varying Data Visualization
inferredcites →https://doi.org/10.1109/tvcg.2010.253openalex-snapshot
Interactive Exploration and Analysis of Large-Scale Simulations Using Topology-Based Data Segmentation
inferredcites →https://doi.org/10.1145/1996130.1996139openalex-snapshot
Six degrees of scientific data
inferredcites →https://doi.org/10.1145/2503210.2503301openalex-snapshot
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows
inferredcites →https://doi.org/10.5555/2591272.2591286openalex-snapshot
Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-30709-7_23openalex-snapshot
Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning
inferred← citeshttps://doi.org/10.1007/s10619-018-7235-3openalex-snapshot
DeStager: feature guided in-situ data management in distributed deep memory hierarchies
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840743openalex-snapshot
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.66openalex-snapshot
Dynamic Management of In-Memory Storage for Efficiently Integrating Compute-and Data-Intensive Computing on HPC Systems
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/cluster.2016.30openalex-snapshot
Bredala: Semantic Data Redistribution for In Situ Applications
inferred← citeshttps://doi.org/10.1109/cluster.2019.8891003openalex-snapshot
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00021openalex-snapshot
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00031openalex-snapshot
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows
inferred← citeshttps://doi.org/10.1109/hipc.2016.026openalex-snapshot
Data Elevator: Low-Contention Data Movement in Hierarchical Storage System
inferred← citeshttps://doi.org/10.1109/hipc62374.2024.00027openalex-snapshot
Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow
inferred← citeshttps://doi.org/10.1109/hpec55821.2022.9926409openalex-snapshot
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace
inferred← citeshttps://doi.org/10.1109/icdcs.2017.256openalex-snapshot
Exacution: Enhancing Scientific Data Management for Exascale
inferred← citeshttps://doi.org/10.1109/icpads.2017.00043openalex-snapshot
Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies
inferred← citeshttps://doi.org/10.1109/ipdps.2019.00039openalex-snapshot
Identifying Latent Reduced Models to Precondition Lossy Compression
inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00017openalex-snapshot
HFetch: Hierarchical Data Prefetching for Scientific Workflows in Multi-Tiered Storage Environments
inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00064openalex-snapshot
HCompress: Hierarchical Data Compression for Multi-Tiered Storage Environments
inferred← citeshttps://doi.org/10.1109/sc.2018.00076openalex-snapshot
Stacker: An Autonomic Data Movement Engine for Extreme-Scale Data Staging-Based In-Situ Workflows
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3225959openalex-snapshot
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data
inferred← citeshttps://doi.org/10.1109/tetc.2020.3028744openalex-snapshot
Comparing Data Staging Techniques for Large Scale Brain Images
inferred← citeshttps://doi.org/10.1145/2807591.2807669openalex-snapshot
Adaptive data placement for staging-based coupled scientific workflows
inferred← citeshttps://doi.org/10.1145/2828612.2828620openalex-snapshot
In Situ Analysis as a Parallel I/O Problem
inferred← citeshttps://doi.org/10.1145/2912152.2912157openalex-snapshot
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows
inferred← citeshttps://doi.org/10.1145/3132402.3132428openalex-snapshot
Task replication and control for highly parallel in-memory stores
inferred← citeshttps://doi.org/10.1145/3205289.3205316openalex-snapshot
Optimizing Data Aggregation by Leveraging the Deep Memory Hierarchy on Large-scale Systems
inferred← citeshttps://doi.org/10.1145/3588195.3592987openalex-snapshot
GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching
inferred← citeshttps://doi.org/10.1145/3624062.3624176openalex-snapshot
Accelerating In Situ Analysis using Non-volatile Memory
inferred← citeshttps://doi.org/10.1177/1094342020935991openalex-snapshot
A terminology for in situ visualization and analysis systems
inferred← citeshttps://doi.org/10.14778/3357377.3357381openalex-snapshot
Automating distributed tiered storage management in cluster computing
inferred← citeshttps://doi.org/10.2172/1525145openalex-snapshot
Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.163972openalex-snapshot
Big Computing: Where are we heading?
inferred← citeshttps://doi.org/10.7282/t3765jg4openalex-snapshot
Staging-based data management for extreme scale coupled scientific workflows
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.