On the public citation graph
A Visual Network Analysis Method for Large-Scale Parallel I/O Systems
0 signed · 53 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/11846802_43openalex-snapshot
Scalable Parallel Trace-Based Performance Analysis
inferredcites →https://doi.org/10.1007/3-540-44520-x_16openalex-snapshot
Automatic Performance Analysis of MPI Applications Based on Event Traces
inferredcites →https://doi.org/10.1007/978-3-540-45209-6_177openalex-snapshot
KOJAK – A Tool Set for Automatic Performance Analysis of Parallel Programs
inferredcites →https://doi.org/10.1007/978-3-540-68564-7_9openalex-snapshot
The Vampir Performance Analysis Tool-Set
inferredcites →https://doi.org/10.1007/978-3-540-75416-9_32openalex-snapshot
Analysis of the MPI-IO Optimization Levels with the PIOViz Jumpshot Enhancement
inferredcites →https://doi.org/10.1007/978-3-540-75755-9_52openalex-snapshot
Visualization of Repetitive Patterns in Event Traces
inferredcites →https://doi.org/10.1007/978-3-642-15646-5_8openalex-snapshot
Automated Tracing of I/O Stack
inferredcites →https://doi.org/10.1007/s00450-011-0154-4openalex-snapshot
A system level view of Petascale I/O on IBM Blue Gene/P
inferredcites →https://doi.org/10.1016/j.future.2004.11.020openalex-snapshot
Scaling applications to massively parallel machines using Projections performance analysis tool
inferredcites →https://doi.org/10.1016/j.parco.2005.02.004openalex-snapshot
A study of I/O methods for parallel visualization of large-scale data
inferredcites →https://doi.org/10.1016/s1383-7621(03)00102-4openalex-snapshot
Automatic performance analysis of hybrid MPI/OpenMP applications
inferredcites →https://doi.org/10.1086/317361openalex-snapshot
FLASH: An Adaptive Mesh Hydrodynamics Code for Modeling Astrophysical Thermonuclear Flashes
inferredcites →https://doi.org/10.1088/1742-6596/180/1/012048openalex-snapshot
Scalable I/O and analytics
inferredcites →https://doi.org/10.1109/2.809250openalex-snapshot
Virtue: performance visualization of parallel and distributed applications
inferredcites →https://doi.org/10.1109/cluster.2010.36openalex-snapshot
Optimization Techniques at the I/O Forwarding Layer
inferredcites →https://doi.org/10.1109/cluster.2011.81openalex-snapshot
Parallel I/O Performance for Application-Level Checkpointing on the Blue Gene/P System
inferredcites →https://doi.org/10.1109/clustr.2009.5289188openalex-snapshot
Scalable I/O forwarding framework for high-performance computing systems
inferredcites →https://doi.org/10.1109/empdp.2003.1183560openalex-snapshot
Automatic performance analysis of hybrid MPI/OpenMP applications
inferredcites →https://doi.org/10.1109/hipc.2009.5433186openalex-snapshot
Detailed analysis of I/O traces for large scale applications
inferredcites →https://doi.org/10.1109/ipdps.2008.4536550openalex-snapshot
Early experiences in application level I/O tracing on blue gene systems
inferredcites →https://doi.org/10.1109/mcg.2007.323435openalex-snapshot
Rainbow Color Map (Still) Considered Harmful
inferredcites →https://doi.org/10.1109/mcg.2011.102openalex-snapshot
Toward a General I/O Layer for Parallel-Visualization Applications
inferredcites →https://doi.org/10.1109/sc.2000.10050openalex-snapshot
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems
inferredcites →https://doi.org/10.1109/tvcg.2006.147openalex-snapshot
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
inferredcites →https://doi.org/10.1109/tvcg.2009.196openalex-snapshot
Visual Analysis of Inter-Process Communication for Large-Scale Parallel Computing
inferredcites →https://doi.org/10.1142/s0129626410000314openalex-snapshot
LARGE-SCALE PERFORMANCE ANALYSIS OF SWEEP3D WITH THE SCALASCA TOOLSET
inferredcites →https://doi.org/10.1145/1374596.1374609openalex-snapshot
Characterizing the I/O behavior of scientific applications on the Cray XT
inferredcites →https://doi.org/10.1145/1654059.1654100openalex-snapshot
I/O performance challenges at leadership scale
inferredcites →https://doi.org/10.1145/1996029.1996036openalex-snapshot
Visual analysis of I/O system behavior for high-end computing
inferredcites →https://doi.org/10.1177/1094342005056114openalex-snapshot
A Performance Model of the Parallel Ocean Program
inferredcites →https://doi.org/10.1177/1094342006064482openalex-snapshot
The Tau Parallel Performance System
inferredcites →https://doi.org/10.1177/1094342010387806openalex-snapshot
Trace-based performance analysis for the petascale simulation code FLASH
inferredcites →https://doi.org/10.1177/109434209901300310openalex-snapshot
Toward Scalable Performance Visualization with Jumpshot
inferredcites →https://doi.org/10.48550/arxiv.1903.01955openalex-snapshot
The Lustre Storage Architecture
inferredcites →https://doi.org/10.5555/370049.370458openalex-snapshot
From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.4389openalex-snapshot
A coarse‐grained page cache aware multivariate analytical model for the storage performance of a parallel file system
inferred← citeshttps://doi.org/10.1007/978-3-030-22734-0_12openalex-snapshot
Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications
inferred← citeshttps://doi.org/10.1016/j.parco.2014.08.001openalex-snapshot
SDAFT: A novel scalable data access framework for parallel BLAST
inferred← citeshttps://doi.org/10.1016/j.visinf.2018.04.010openalex-snapshot
A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems
inferred← citeshttps://doi.org/10.1109/access.2018.2872344openalex-snapshot
Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks
inferred← citeshttps://doi.org/10.1109/cluster.2017.26openalex-snapshot
Visual Analytics Techniques for Exploring the Design Space of Large-Scale High-Radix Networks
inferred← citeshttps://doi.org/10.1109/cluster.2019.8891032openalex-snapshot
Diagnostic Analysis: Directional Relation Graph
inferred← citeshttps://doi.org/10.1109/pacificvis60374.2024.00013openalex-snapshot
Data Movement Visualized: A Unified Framework for Tracking and Visualizing Data Movements in Heterogeneous Architectures
inferred← citeshttps://doi.org/10.1109/tvcg.2016.2534558openalex-snapshot
Visual Analysis of Cloud Computing Performance Using Behavioral Lines
inferred← citeshttps://doi.org/10.1109/tvcg.2018.2865026openalex-snapshot
A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications
inferred← citeshttps://doi.org/10.1109/vast.2017.8585646openalex-snapshot
A Visual Analytics System for Optimizing Communications in Massively Parallel Applications
inferred← citeshttps://doi.org/10.1109/vpa.2014.8openalex-snapshot
CommGram: A New Visual Analytics Tool for Large Communication Trace Data
inferred← citeshttps://doi.org/10.1111/cgf.13442openalex-snapshot
Interactive Investigation of Traffic Congestion on Fat‐Tree Networks Using T ree S cope
inferred← citeshttps://doi.org/10.1145/3152891openalex-snapshot
A Checkpoint of Research on Parallel I/O for High-Performance Computing
inferred← citeshttps://doi.org/10.1162/dint_a_00128openalex-snapshot
S-ProvFlow. Storing and Exploring Lineage Data as a Service
inferred← citeshttps://doi.org/10.2312/eurovisstar.20141177openalex-snapshot
State of the Art of Performance Visualization
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.